Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969052
Bhagyashree Rajendra Gaidhani, R. R.Rajamenakshi, Samadhan Sonavane
For the last few decades, machine learning is used to analyze medical dataset. Recently, deep learning technology gaining success in many domain including computer vision, image recognition, natural language processing and especially in medical field of radiology. This research attempts to diagnose brain stroke from MRI using CNN and deep learning models. The proposed methodology is to classify brain stroke MRI images into normal and abnormal images and delineate abnormal regions using semantic segmentation [4]. In particular, two types of convolutional neural network that are LeNet [2] and SegNet are used. For classification, we passed pre-processed stroke MRI for training, trained all layers of LeNet and classify normal and abnormal patient. Then this abnormal patient data stored into two dimensional array and passed this two dimensional array to SegNet which is auto encoder decoder [3] model for segmentation, trained all layers of SegNet except fully connection layer. The experimental result show that classification model achieve accuracy between 9697% and segmentation model achieve accuracy between 8587%.Through experimental results, we found that deep learning models not only used in non-medical images but also give accurate result on medical image diagnosis, especially in brain stroke detection.
{"title":"Brain Stroke Detection Using Convolutional Neural Network and Deep Learning Models","authors":"Bhagyashree Rajendra Gaidhani, R. R.Rajamenakshi, Samadhan Sonavane","doi":"10.1109/ICCT46177.2019.8969052","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969052","url":null,"abstract":"For the last few decades, machine learning is used to analyze medical dataset. Recently, deep learning technology gaining success in many domain including computer vision, image recognition, natural language processing and especially in medical field of radiology. This research attempts to diagnose brain stroke from MRI using CNN and deep learning models. The proposed methodology is to classify brain stroke MRI images into normal and abnormal images and delineate abnormal regions using semantic segmentation [4]. In particular, two types of convolutional neural network that are LeNet [2] and SegNet are used. For classification, we passed pre-processed stroke MRI for training, trained all layers of LeNet and classify normal and abnormal patient. Then this abnormal patient data stored into two dimensional array and passed this two dimensional array to SegNet which is auto encoder decoder [3] model for segmentation, trained all layers of SegNet except fully connection layer. The experimental result show that classification model achieve accuracy between 9697% and segmentation model achieve accuracy between 8587%.Through experimental results, we found that deep learning models not only used in non-medical images but also give accurate result on medical image diagnosis, especially in brain stroke detection.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123127034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We are well aware of the many problems that our current generations are facing. From all these new enhancements in the real world it has been quite hard for them to keep up with everything evolving around them. Keeping all this in mind they work day in and out to make sure that their knowledge on their surroundings up to date, however we believe that they fail to properly take care of themselves in the process. No matter how much a certain individual may withstand in terms of workload, stress, or other mental & emotional barriers our physical body will always be the key aspect to overcoming them. Most people believe that working out and maintaining physical fitness are the major aspects to sustain a healthy physical form but they simply overlook the most important aspect which are their eating habits. Although our body may be physically fit, the nourishment of our body depends on the eating styles that we follow on a day to day basis. Food is what nourishes our body with most of the proteins & minerals that we require, without it we wouldn't be able to accomplish much. On conducting a worldwide research on people's lifestyles we were able to conclude that over the past 33 years the obesity rate among human beings has increased by a mere 27.5%. What seems to be the most thoughtful yet intriguing fact is that although many people are overweight as well as obese they still believe that their eating habits are healthy. Most people are living in the dilemma of the fact that they maintain a healthy lifestyle. We aim to study the views on a healthy lifestyle as per the norms of our current generation. We would like to analyse their daily eating habits as well as their own thoughts on their lifestyle. So the question that remains is… “What exactly is a Healthy Eating Lifestyle?”
{"title":"Food Survey using Exploratory Data Analysis","authors":"Rayapati RamyaSri, Shaik IshaSanjida, Dhanush Parasa, Shahana Bano","doi":"10.1109/ICCT46177.2019.8969016","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969016","url":null,"abstract":"We are well aware of the many problems that our current generations are facing. From all these new enhancements in the real world it has been quite hard for them to keep up with everything evolving around them. Keeping all this in mind they work day in and out to make sure that their knowledge on their surroundings up to date, however we believe that they fail to properly take care of themselves in the process. No matter how much a certain individual may withstand in terms of workload, stress, or other mental & emotional barriers our physical body will always be the key aspect to overcoming them. Most people believe that working out and maintaining physical fitness are the major aspects to sustain a healthy physical form but they simply overlook the most important aspect which are their eating habits. Although our body may be physically fit, the nourishment of our body depends on the eating styles that we follow on a day to day basis. Food is what nourishes our body with most of the proteins & minerals that we require, without it we wouldn't be able to accomplish much. On conducting a worldwide research on people's lifestyles we were able to conclude that over the past 33 years the obesity rate among human beings has increased by a mere 27.5%. What seems to be the most thoughtful yet intriguing fact is that although many people are overweight as well as obese they still believe that their eating habits are healthy. Most people are living in the dilemma of the fact that they maintain a healthy lifestyle. We aim to study the views on a healthy lifestyle as per the norms of our current generation. We would like to analyse their daily eating habits as well as their own thoughts on their lifestyle. So the question that remains is… “What exactly is a Healthy Eating Lifestyle?”","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114583830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/icct46177.2019.8969022
J. Chaudhari, Asmita A. Desai, S. Gavarskar
This paper describes the line following robot using arduino for surveying, inspecting and enhancing the transportation of necessary materials inside the healthcare institutions, industries also. The proposed system spot the black path and proceed in its direction on to the ground. This system eases the work of material conveyance as well as minimizes the manpower. This technology targets on the secured, punctual and constructing transportation of goods. This paper aims to implement controlled movement of robot by tuning control parameters and thus achieve better performance. This robot is predominantly design to proceed in a predefined path. To locate this path two sensors are used. Robots like this are mainly used in industrial plants comprising of pick and place facility. This robot carries components from desired source to destination by following fixed path. Recently lot of research has been done to empower the automation in hospitals as well in industries. This robot is made to supply the essential goods such injections, medicine, etc. This paper is divided into hardware and software modules.
{"title":"Line Following Robot Using Arduino for Hospitals","authors":"J. Chaudhari, Asmita A. Desai, S. Gavarskar","doi":"10.1109/icct46177.2019.8969022","DOIUrl":"https://doi.org/10.1109/icct46177.2019.8969022","url":null,"abstract":"This paper describes the line following robot using arduino for surveying, inspecting and enhancing the transportation of necessary materials inside the healthcare institutions, industries also. The proposed system spot the black path and proceed in its direction on to the ground. This system eases the work of material conveyance as well as minimizes the manpower. This technology targets on the secured, punctual and constructing transportation of goods. This paper aims to implement controlled movement of robot by tuning control parameters and thus achieve better performance. This robot is predominantly design to proceed in a predefined path. To locate this path two sensors are used. Robots like this are mainly used in industrial plants comprising of pick and place facility. This robot carries components from desired source to destination by following fixed path. Recently lot of research has been done to empower the automation in hospitals as well in industries. This robot is made to supply the essential goods such injections, medicine, etc. This paper is divided into hardware and software modules.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120869335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969008
Mahesh Kumar Tripathi, H. Govil, P. Diwan
The larger synoptic view and contiguous channels arrangement of Hyperion hyperspectral remote sensing data enhance the minor spectral identification of earth’s features such as minerals, atmospheric gasses, vegetation and so on. Hydrothermal alteration minerals mostly associated with vicinity of geological structural features such as lineaments and fractures. In this study Hyperion data is used for identification of hydrothermally altered minerals and alteration facies near Chhabadiya village of Jahajpur area, Bhilwara, Rajasthan. There are some minerals such as talc minerals identified through Hyperion imagery. The identified talc minerals correlated and evaluated through petrographic analysis, XRD analysis and spectroscopic analysis. The validation of identified minerals completed by field survey, field sample spectra and USGS spectral library talc mineral spectra. The conclusion is that Hyperion hyperspectral remote sensing data have capability to identify the minerals, mineral assemblage, alteration minerals and alteration facies.
{"title":"Petrography, XRD Analysis and Identification of Talc Minerals near Chhabadiya Village of Jahajpur Region, Bhilwara, India through Hyperion Hyperspectral Remote Sensing Data","authors":"Mahesh Kumar Tripathi, H. Govil, P. Diwan","doi":"10.1109/ICCT46177.2019.8969008","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969008","url":null,"abstract":"The larger synoptic view and contiguous channels arrangement of Hyperion hyperspectral remote sensing data enhance the minor spectral identification of earth’s features such as minerals, atmospheric gasses, vegetation and so on. Hydrothermal alteration minerals mostly associated with vicinity of geological structural features such as lineaments and fractures. In this study Hyperion data is used for identification of hydrothermally altered minerals and alteration facies near Chhabadiya village of Jahajpur area, Bhilwara, Rajasthan. There are some minerals such as talc minerals identified through Hyperion imagery. The identified talc minerals correlated and evaluated through petrographic analysis, XRD analysis and spectroscopic analysis. The validation of identified minerals completed by field survey, field sample spectra and USGS spectral library talc mineral spectra. The conclusion is that Hyperion hyperspectral remote sensing data have capability to identify the minerals, mineral assemblage, alteration minerals and alteration facies.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127837029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969067
Mukul Diwanji, S. Hisvankar, C. Khandelwal
This paper examines and leverages the potential of automation in hazardous but important occupation as firefighting. Robots are designed to find the location of fire, before it goes out of control. It could be used to work with fire fighters to reduce the risk of injury to victims. This paper presents the Fire Fighting Robot. The development of robot is divided into three elements which is the hardware, electronic, and programming. The robot has two DC motors for driving system and castor wheel for giving direction. A 12 Volt DC pump for suction and spraying of water. Servo Motor (SG90) for axial spraying of water.(0 degrees to 60 degrees)Various sensors are also interfaced with Arduino Uno Board. For the programming part, Arduino IDE language was used to determine the robot movement from the sensors input.
本文考察和利用自动化在危险但重要的职业，如消防的潜力。机器人的设计目的是在火灾失去控制之前找到火灾的位置。它可以与消防员一起工作，以减少受害者受伤的风险。本文介绍了消防机器人。机器人的发展分为硬件、电子和编程三个方面。该机器人具有两个直流电机驱动系统和用于指示方向的脚轮。用于吸水和喷水的12伏直流泵。伺服电机(SG90)轴向喷水。(0度到60度)各种传感器也与Arduino Uno Board接口。在编程部分，使用Arduino IDE语言根据传感器的输入判断机器人的运动。
{"title":"Autonomous Fire Detecting and Extinguishing Robot","authors":"Mukul Diwanji, S. Hisvankar, C. Khandelwal","doi":"10.1109/ICCT46177.2019.8969067","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969067","url":null,"abstract":"This paper examines and leverages the potential of automation in hazardous but important occupation as firefighting. Robots are designed to find the location of fire, before it goes out of control. It could be used to work with fire fighters to reduce the risk of injury to victims. This paper presents the Fire Fighting Robot. The development of robot is divided into three elements which is the hardware, electronic, and programming. The robot has two DC motors for driving system and castor wheel for giving direction. A 12 Volt DC pump for suction and spraying of water. Servo Motor (SG90) for axial spraying of water.(0 degrees to 60 degrees)Various sensors are also interfaced with Arduino Uno Board. For the programming part, Arduino IDE language was used to determine the robot movement from the sensors input.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130108412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969060
Vrishabh Sharma, R. Khemnar, R. Kumari, B. Mohan
Stock price prediction has been a major area of research for many years. Accurate predictions can help investors take correct decisions about the selling/purchase of stocks. This paper aims to predict and gauge stock costs and patterns, utilizing the power of machine learning, content examination and fundamental analysis, to give traders a hands-on tool for keen speculations particularly for the volatile Indian Stock Market. We propose a technique to analyze and predict the stock price with the help of sentiment analysis and decomposable time series model along with multivariate-linear regression.
{"title":"Time Series with Sentiment Analysis for Stock Price Prediction","authors":"Vrishabh Sharma, R. Khemnar, R. Kumari, B. Mohan","doi":"10.1109/ICCT46177.2019.8969060","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969060","url":null,"abstract":"Stock price prediction has been a major area of research for many years. Accurate predictions can help investors take correct decisions about the selling/purchase of stocks. This paper aims to predict and gauge stock costs and patterns, utilizing the power of machine learning, content examination and fundamental analysis, to give traders a hands-on tool for keen speculations particularly for the volatile Indian Stock Market. We propose a technique to analyze and predict the stock price with the help of sentiment analysis and decomposable time series model along with multivariate-linear regression.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114236925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8968777
M. M. Manohara Pai, S. Kolekar, R. Pai
Foot ulcers are the most common medical complications seen in patients with diabetes with an estimated prevalence of 12-15 percent among all individuals with diabetes [1]. Patients suffering with diabetic foot ulcers are more susceptible to hospitalizations than any other complication of diabetes. Ulceration can have potential devastating complications as they cause up to 90 percent of lower extremity amputations in patients with diabetes. Thus it is essential for early diagnosis of foot ulceration among diabetic patients. The main aim of this paper is to build a wearable Smart Sole based prediction system capable of analyzing the plantar pressure at different strategic locations of the foot in real time and provide these results to the doctors for making the required decisions based on additional captured clinical data of the patients.
{"title":"Development of Smart Sole based Foot Ulcer Prediction System","authors":"M. M. Manohara Pai, S. Kolekar, R. Pai","doi":"10.1109/ICCT46177.2019.8968777","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8968777","url":null,"abstract":"Foot ulcers are the most common medical complications seen in patients with diabetes with an estimated prevalence of 12-15 percent among all individuals with diabetes [1]. Patients suffering with diabetic foot ulcers are more susceptible to hospitalizations than any other complication of diabetes. Ulceration can have potential devastating complications as they cause up to 90 percent of lower extremity amputations in patients with diabetes. Thus it is essential for early diagnosis of foot ulceration among diabetic patients. The main aim of this paper is to build a wearable Smart Sole based prediction system capable of analyzing the plantar pressure at different strategic locations of the foot in real time and provide these results to the doctors for making the required decisions based on additional captured clinical data of the patients.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969023
Roohani, Tushar Rana, P. Meel
Rumor propagation is an alarming problem that creates a lot of predicament and has significant impact on people’s lives. Earlier rumor could only be spread by the word of the mouth however in the current Web age, people are using electronics much more than they used to before, thereby resulting into lot of social interaction on the Web and hence spread of fake news is at its apex. This survey paper is written while keeping in mind the problem of fake news propagation and various approaches given to limit the spread up to a considerable extent. Fake news propagation is a new field of research and constant work is going on this field. Various models already given attempt to recognize the pattern of the news spread, correlates the rumor propagation with nature inspired phenomena. In this review paper, we also give the comparison between these models and their variants, this study leads us to see which areas are still challenging and what are the future prospects of rumor propagation.
{"title":"Rumor Propagation: A State-of-the-art Survey of Current Challenges and Opportunities","authors":"Roohani, Tushar Rana, P. Meel","doi":"10.1109/ICCT46177.2019.8969023","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969023","url":null,"abstract":"Rumor propagation is an alarming problem that creates a lot of predicament and has significant impact on people’s lives. Earlier rumor could only be spread by the word of the mouth however in the current Web age, people are using electronics much more than they used to before, thereby resulting into lot of social interaction on the Web and hence spread of fake news is at its apex. This survey paper is written while keeping in mind the problem of fake news propagation and various approaches given to limit the spread up to a considerable extent. Fake news propagation is a new field of research and constant work is going on this field. Various models already given attempt to recognize the pattern of the news spread, correlates the rumor propagation with nature inspired phenomena. In this review paper, we also give the comparison between these models and their variants, this study leads us to see which areas are still challenging and what are the future prospects of rumor propagation.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969021
K. Gurrala, Lenin Yemineni, Krupa Spandan Raj Rayana, Lokesh Kumar Vajja
Detecting plant diseases automatically with the help of symptoms present on leaves at earlier stage yields more productivity in agriculture. In this paper, a novel plant disease diagnosis method is proposed for the plants using image processing techniques and SVM classifier. Here, disease diagnosis is carried based on features extracted from the segmented image after pre-processing the image of the leaves which are affected with diseases. Modified color processing detection algorithm (CPDA) is used as segmentation method to extract the features. SVM classifier is trained with a dataset of about 100 images of diseased leaves to identify the diseases like anthracnose, leafspot, leafblight, scab. For disease detection, the performance of proposed segmentation technique is better when compared to the K-means clustering segmentation.
{"title":"A New Segmentation method for Plant Disease Diagnosis","authors":"K. Gurrala, Lenin Yemineni, Krupa Spandan Raj Rayana, Lokesh Kumar Vajja","doi":"10.1109/ICCT46177.2019.8969021","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969021","url":null,"abstract":"Detecting plant diseases automatically with the help of symptoms present on leaves at earlier stage yields more productivity in agriculture. In this paper, a novel plant disease diagnosis method is proposed for the plants using image processing techniques and SVM classifier. Here, disease diagnosis is carried based on features extracted from the segmented image after pre-processing the image of the leaves which are affected with diseases. Modified color processing detection algorithm (CPDA) is used as segmentation method to extract the features. SVM classifier is trained with a dataset of about 100 images of diseased leaves to identify the diseases like anthracnose, leafspot, leafblight, scab. For disease detection, the performance of proposed segmentation technique is better when compared to the K-means clustering segmentation.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121126328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.1109/ICCT46177.2019.8969059
P. Tiwari, Rishi Gupta, R. Gupta
Presently days, audit destinations are increasingly more defied with the spread of falsehood, i.e., assessment spam, which goes for advancing or harming some objective organizations, by deceiving either human peruses, or computerized feeling mining and opinion investigation frameworks. Thus, in the most recent years, a few information-driven methodologies have been proposed to survey the believability of client created content diffused through online life as on-line audits. Particular methodologies frequently think about various subsets of qualities, i.e., highlights, associated with the two audits and commentators, just as to the system structure connecting unmistakable elements on the survey site in test. This work goes for giving an examination of the fundamental audit and commentator driven highlights that have been proposed up to now in the writing to identify counterfeit surveys, specifically from those methodologies that utilize directed AI systems. These arrangements furnish when all is said in done better outcomes concerning simply unsupervised methodologies, which are frequently founded on chart-based strategies that think about social ties in audit destinations. besides, this work proposes and assesses.
{"title":"Feature Analysis for Fake Review Detection through Supervised Classification","authors":"P. Tiwari, Rishi Gupta, R. Gupta","doi":"10.1109/ICCT46177.2019.8969059","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969059","url":null,"abstract":"Presently days, audit destinations are increasingly more defied with the spread of falsehood, i.e., assessment spam, which goes for advancing or harming some objective organizations, by deceiving either human peruses, or computerized feeling mining and opinion investigation frameworks. Thus, in the most recent years, a few information-driven methodologies have been proposed to survey the believability of client created content diffused through online life as on-line audits. Particular methodologies frequently think about various subsets of qualities, i.e., highlights, associated with the two audits and commentators, just as to the system structure connecting unmistakable elements on the survey site in test. This work goes for giving an examination of the fundamental audit and commentator driven highlights that have been proposed up to now in the writing to identify counterfeit surveys, specifically from those methodologies that utilize directed AI systems. These arrangements furnish when all is said in done better outcomes concerning simply unsupervised methodologies, which are frequently founded on chart-based strategies that think about social ties in audit destinations. besides, this work proposes and assesses.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127156703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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