Pub Date : 2016-10-01DOI: 10.1109/INCITE.2016.7857619
K. Anil
There is a Race to build and Enable Internet Of Things (IOT), Companies are competing each other to make IOT things as a result each device is coming with specific cloud interface and application with no capability to talk to each other. Interoperability and Internet Reliability plays a vital Role in Future Internet Enabled Devices. This paper discuss the implementation of Internet of Things as a Network of Intranet of Things which proposes method to solves the issues of Interoperability and Self Organization of IOT things using Fallback/Switch over mechanism in Intranet.
{"title":"Open source implementation of Internet of Things as a Network of Intranet of Things","authors":"K. Anil","doi":"10.1109/INCITE.2016.7857619","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857619","url":null,"abstract":"There is a Race to build and Enable Internet Of Things (IOT), Companies are competing each other to make IOT things as a result each device is coming with specific cloud interface and application with no capability to talk to each other. Interoperability and Internet Reliability plays a vital Role in Future Internet Enabled Devices. This paper discuss the implementation of Internet of Things as a Network of Intranet of Things which proposes method to solves the issues of Interoperability and Self Organization of IOT things using Fallback/Switch over mechanism in Intranet.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76845433","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857579
Mahasweta Sarma, R. Sagar
This is a research based project on converting a line of text into an automated and user-manipulative scene with the appropriate assets(objects), and on how the objects can be extracted from the sentence and taken dynamically from cloud, in the form of google images. An automated scene will first be generated which will be followed by a user scene where the person writing the sentence can create his/her own scene by dragging images from google dynamically and placing them wherever they want them to be, therefore being able to create their own perfect scene. Also, the images from the google search engine should not be ambiguous or noisy. The project covers some acute areas of artificial intelligence, natural language processing and the concept of ontologies along with core java programming. This paper is a continuation of my earlier works that has been done on this topic. In our previous paper we proposed the very idea of our text to scene tool and in this paper we will be showing its implementation. The paper covers a brief introduction to the concept of text to scene, followed by the problem statement, the steps taken in implementing the tool, the literature cited and at last the final outcome along with future implications.
{"title":"Human computation implementation of text to user manipulative scene","authors":"Mahasweta Sarma, R. Sagar","doi":"10.1109/INCITE.2016.7857579","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857579","url":null,"abstract":"This is a research based project on converting a line of text into an automated and user-manipulative scene with the appropriate assets(objects), and on how the objects can be extracted from the sentence and taken dynamically from cloud, in the form of google images. An automated scene will first be generated which will be followed by a user scene where the person writing the sentence can create his/her own scene by dragging images from google dynamically and placing them wherever they want them to be, therefore being able to create their own perfect scene. Also, the images from the google search engine should not be ambiguous or noisy. The project covers some acute areas of artificial intelligence, natural language processing and the concept of ontologies along with core java programming. This paper is a continuation of my earlier works that has been done on this topic. In our previous paper we proposed the very idea of our text to scene tool and in this paper we will be showing its implementation. The paper covers a brief introduction to the concept of text to scene, followed by the problem statement, the steps taken in implementing the tool, the literature cited and at last the final outcome along with future implications.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86303646","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857622
Navdeep Kaur, J. S. Sivia
This paper presents the Modified Plus Shape Sierpinski Carpet Fractal Antenna (MPSSCFA) for S and C band applications. Ansoft High Frequency Structural Simulator (HFSS) software is used for simulation purpose. The FR-4 epoxy with relative permittivity 4.4 and height 1.6 mm is taken as substrate material for design of suggested antenna. This antenna is fed by 50 ohm coaxial probe feed. The suggested antenna is simulated up to 3rd iteration. The hardware implementation of MPSSCFA is also carried out. Return losses of suggested antenna are measured using Vector Network Analyzer (VNA). Experimental results show that suggested antenna works at six resonant frequencies having values (in GHz) 2.23, 4.75, 5.23, 6.61, 6.79 and 9.58 and exhibits the multiband behavior. The measured and simulated results are compared. Return Loss (RL), VSWR, gain and radiation pattern are used to evaluate performance of this antenna. All these parameters have acceptable values. A comparison of suggested antenna with similar type of antennas is also done. It is found that suggested antenna works at six frequencies with maximum gain 15.27dB where as other antennas work at the most five frequencies with maximum gain 8.95 dB. Thus suggested antenna is better than other existing antennas.
{"title":"Design of Modified Plus Shape Sierpinski Carpet Fractal Antenna for S and C band applications","authors":"Navdeep Kaur, J. S. Sivia","doi":"10.1109/INCITE.2016.7857622","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857622","url":null,"abstract":"This paper presents the Modified Plus Shape Sierpinski Carpet Fractal Antenna (MPSSCFA) for S and C band applications. Ansoft High Frequency Structural Simulator (HFSS) software is used for simulation purpose. The FR-4 epoxy with relative permittivity 4.4 and height 1.6 mm is taken as substrate material for design of suggested antenna. This antenna is fed by 50 ohm coaxial probe feed. The suggested antenna is simulated up to 3rd iteration. The hardware implementation of MPSSCFA is also carried out. Return losses of suggested antenna are measured using Vector Network Analyzer (VNA). Experimental results show that suggested antenna works at six resonant frequencies having values (in GHz) 2.23, 4.75, 5.23, 6.61, 6.79 and 9.58 and exhibits the multiband behavior. The measured and simulated results are compared. Return Loss (RL), VSWR, gain and radiation pattern are used to evaluate performance of this antenna. All these parameters have acceptable values. A comparison of suggested antenna with similar type of antennas is also done. It is found that suggested antenna works at six frequencies with maximum gain 15.27dB where as other antennas work at the most five frequencies with maximum gain 8.95 dB. Thus suggested antenna is better than other existing antennas.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90315605","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857591
S. Singal, Tejal, Bhawna Juneja
Recommender systems are ways for web personalization and crafting the browsing experience to the users' specific needs and are tools for communicating with large and complicated information spaces. It give a personalized view of these spaces, ranking items likely to be of interest to the user. Now-a-days many on-line e-commerce applications like Amazon.com, Netflix etc. use personalized recommendations. Recommender systems research has integrated a wide range of artificial intelligence techniques including machine learning, data mining, user modeling, case-based reasoning, and constraint satisfaction, among others. The purpose of this paper is to show how recommendations can be generated for case-based scenarios using AdaBoost machine learning algorithm. The technique has been used to predict the restaurants a user may like based on the data gathered from past.
{"title":"AdaBoosting for case-based recommendation system","authors":"S. Singal, Tejal, Bhawna Juneja","doi":"10.1109/INCITE.2016.7857591","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857591","url":null,"abstract":"Recommender systems are ways for web personalization and crafting the browsing experience to the users' specific needs and are tools for communicating with large and complicated information spaces. It give a personalized view of these spaces, ranking items likely to be of interest to the user. Now-a-days many on-line e-commerce applications like Amazon.com, Netflix etc. use personalized recommendations. Recommender systems research has integrated a wide range of artificial intelligence techniques including machine learning, data mining, user modeling, case-based reasoning, and constraint satisfaction, among others. The purpose of this paper is to show how recommendations can be generated for case-based scenarios using AdaBoost machine learning algorithm. The technique has been used to predict the restaurants a user may like based on the data gathered from past.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80013827","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857616
Faraz Islam, Abdul Hameed Ahmedulla Khan, Nishita Singh, Alabbas Alhaj Ali
Diabetes is an incurable disease where the body is not able to maintain the blood sugar level as the glucose in the blood is not utilize due to the destruction of the beta pancreatic cell of the liver. Blood sugar level of body is a very important factor for health and it should be maintain within the desired level or else this would result in complications and often serious damage to the body. Therefore treatment must be provided in case of high or low blood sugar level. In case of high blood sugar level, insulin must be injected and in case of low blood sugar level we should inject glucagon into the body. This paper is concerned on advanced method of simulation that can be used to implement a real insulin and glucagon pump that can work in real time to prevent the fatal effects of diabetes on body. This system also covers all the safety critical system aspect required to build a system that has a direct effect on human life. To provide better insulin and glucagon management and to reduce the need for human supervision, we have implement a control algorithm for the insulin and glucagon pump to automate the delivery process. The control algorithm adapts the glucose metabolic rate and determine the appropriate amount of insulin or glucagon to be delivered into the body. Method that is followed is effective and efficient in maintaining the blood sugar level. The Graphical User Interface (GUI) of the system is very easy and user friendly that makes it easier for the patient and doctor to use. Different sets of testing were used to insure the safety and efficiency of the insulin pump simulation.
{"title":"Advanced simulation of an insulin & glucagon pump","authors":"Faraz Islam, Abdul Hameed Ahmedulla Khan, Nishita Singh, Alabbas Alhaj Ali","doi":"10.1109/INCITE.2016.7857616","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857616","url":null,"abstract":"Diabetes is an incurable disease where the body is not able to maintain the blood sugar level as the glucose in the blood is not utilize due to the destruction of the beta pancreatic cell of the liver. Blood sugar level of body is a very important factor for health and it should be maintain within the desired level or else this would result in complications and often serious damage to the body. Therefore treatment must be provided in case of high or low blood sugar level. In case of high blood sugar level, insulin must be injected and in case of low blood sugar level we should inject glucagon into the body. This paper is concerned on advanced method of simulation that can be used to implement a real insulin and glucagon pump that can work in real time to prevent the fatal effects of diabetes on body. This system also covers all the safety critical system aspect required to build a system that has a direct effect on human life. To provide better insulin and glucagon management and to reduce the need for human supervision, we have implement a control algorithm for the insulin and glucagon pump to automate the delivery process. The control algorithm adapts the glucose metabolic rate and determine the appropriate amount of insulin or glucagon to be delivered into the body. Method that is followed is effective and efficient in maintaining the blood sugar level. The Graphical User Interface (GUI) of the system is very easy and user friendly that makes it easier for the patient and doctor to use. Different sets of testing were used to insure the safety and efficiency of the insulin pump simulation.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82835962","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}
High speed data rate (HSDR) is a very imperative requirement in today's world and it is increasing according to the customer requirement for various applications such as live broadcasting, video on internet, video conference etc. In this paper, our research is based on how we can design an error free gigabit point to multipoint communication network with the help of fiber Bragg's grating (FBG) technique which reduce the effect of intersymbol interference for point to point (P2P) communication and for the HSDR. At the transmission section we applied an optical meter, Soo we can obtain the polarization for various lengths of the optical fiber in the fiber communication link. For the optical length (L) =40 km the maximum Q-factor obtained is 7.79338 respectively. The polarization starts at 185THz and stops at 200 THz, the vertical linear polarization is (VLP −1, 0, 0) and the horizontal linear polarization is (HLP 1, 0, 0), S1 is 1dBm and S0 is −6.71496dBm respectively.
{"title":"Performance analysis of Q-factor and polarization for GPON network using optisystem","authors":"Sanjeev Verma, Amayika Kakati, Luckysaurabh, Puarush Bhulania","doi":"10.1109/INCITE.2016.7857605","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857605","url":null,"abstract":"High speed data rate (HSDR) is a very imperative requirement in today's world and it is increasing according to the customer requirement for various applications such as live broadcasting, video on internet, video conference etc. In this paper, our research is based on how we can design an error free gigabit point to multipoint communication network with the help of fiber Bragg's grating (FBG) technique which reduce the effect of intersymbol interference for point to point (P2P) communication and for the HSDR. At the transmission section we applied an optical meter, Soo we can obtain the polarization for various lengths of the optical fiber in the fiber communication link. For the optical length (L) =40 km the maximum Q-factor obtained is 7.79338 respectively. The polarization starts at 185THz and stops at 200 THz, the vertical linear polarization is (VLP −1, 0, 0) and the horizontal linear polarization is (HLP 1, 0, 0), S1 is 1dBm and S0 is −6.71496dBm respectively.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82531697","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857613
Pratik Agarwal
The Indian agriculture desperately is lagging behind in per hectare yield in almost all crops in comparison to other countries with respect to the population that is needed to be fed. The use of technology in agriculture may help in increasing the productivity and may improve the condition of Indian farmers and protection of their product. The major problem of Indian agriculture is of providing information to the farmers and storing the crop related information at some place for analyzing later. The present paper illustrates a scheme of keeping records on the progress of agriculture, its production and farmers in India, via Cloud, exclusively employed for the welfare of the farmer society and the agricultural practices, GDP, and the cloud being open to general public as well, for studies, and process transparency.
{"title":"AGROCLOUD — Open surveillance of Indian agriculture via cloud","authors":"Pratik Agarwal","doi":"10.1109/INCITE.2016.7857613","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857613","url":null,"abstract":"The Indian agriculture desperately is lagging behind in per hectare yield in almost all crops in comparison to other countries with respect to the population that is needed to be fed. The use of technology in agriculture may help in increasing the productivity and may improve the condition of Indian farmers and protection of their product. The major problem of Indian agriculture is of providing information to the farmers and storing the crop related information at some place for analyzing later. The present paper illustrates a scheme of keeping records on the progress of agriculture, its production and farmers in India, via Cloud, exclusively employed for the welfare of the farmer society and the agricultural practices, GDP, and the cloud being open to general public as well, for studies, and process transparency.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83661175","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857638
Abdullah Na, W. Isaac, Shashank Varshney, E. Khan
Remote monitoring of soil parsameters is an emerging trend which has the potential to transform agricultural practices and increase productivity. pH value, temperature and moisture content of soil are the basic parameters which help in characterizing the soil and therefore in taking proper decisions regarding fertilizer application and choice of crops sown. In this work, antimony electrode is used for pH measurement. For soil moisture content estimation, the inverse relation between soil resistance and soil moisture has been utilized and corresponding circuitry has been developed. The determination of soil temperature is done using the DS18B20 sensor working on the Dallas one wire protocol. The system is integrated with Bluetooth for the transfer of data to a nearby cell phone. The entire system is developed on STM32 Nucleo platform.
{"title":"An IoT based system for remote monitoring of soil characteristics","authors":"Abdullah Na, W. Isaac, Shashank Varshney, E. Khan","doi":"10.1109/INCITE.2016.7857638","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857638","url":null,"abstract":"Remote monitoring of soil parsameters is an emerging trend which has the potential to transform agricultural practices and increase productivity. pH value, temperature and moisture content of soil are the basic parameters which help in characterizing the soil and therefore in taking proper decisions regarding fertilizer application and choice of crops sown. In this work, antimony electrode is used for pH measurement. For soil moisture content estimation, the inverse relation between soil resistance and soil moisture has been utilized and corresponding circuitry has been developed. The determination of soil temperature is done using the DS18B20 sensor working on the Dallas one wire protocol. The system is integrated with Bluetooth for the transfer of data to a nearby cell phone. The entire system is developed on STM32 Nucleo platform.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78212534","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857612
Saroj Kumar Rout, A. Rath, Chidananda Bhagabati, P. K. Mohapatra
Localization in Mobile Sensor Network presents, a never seen before challenge in this modern era. Localization algorithms somehow able to manage to solve the problem in a practical deployment. The following dossier article comes up with an idea to solve the trilateration problem. We propose Fuzzy Based Eminence of Trilateration (FBEOT) that helps in defining an efficient and dynamic mapping of nodes and relationship among ranging noise factor with objects. It is specific in FBEOT, that we design a dynamic Fuzzy optimization localization method, in which the most efficient and powerful node is selected for trilaterations process of localization in sensor network. To confirm this Dynamic Framework, combination of fuzzy optimization & TDOA technique with an efficient protocol is used. FBEOT is suitable in calculating trilateration accuracy factor and also the proposed localization method significantly improves localization performances.
{"title":"Node localization by using fuzzy optimization technique in wireless sensor networks","authors":"Saroj Kumar Rout, A. Rath, Chidananda Bhagabati, P. K. Mohapatra","doi":"10.1109/INCITE.2016.7857612","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857612","url":null,"abstract":"Localization in Mobile Sensor Network presents, a never seen before challenge in this modern era. Localization algorithms somehow able to manage to solve the problem in a practical deployment. The following dossier article comes up with an idea to solve the trilateration problem. We propose Fuzzy Based Eminence of Trilateration (FBEOT) that helps in defining an efficient and dynamic mapping of nodes and relationship among ranging noise factor with objects. It is specific in FBEOT, that we design a dynamic Fuzzy optimization localization method, in which the most efficient and powerful node is selected for trilaterations process of localization in sensor network. To confirm this Dynamic Framework, combination of fuzzy optimization & TDOA technique with an efficient protocol is used. FBEOT is suitable in calculating trilateration accuracy factor and also the proposed localization method significantly improves localization performances.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86705421","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 : 2016-10-01DOI: 10.1109/INCITE.2016.7857589
Harshit Sinha, Rahul Bagga, G. Raj
A more of work has been made to check the content of the social websites, especially the posts or the views of the users; their sentiment analysis has to be done. The main aim is to analyze the sentiments and then to compare those views with the main topics and other platforms. There are enormous amount of the posts given by the users on the social websites. But some of the people are interested in knowing the influence and the relations among those posts. Many of the researchers find the influence of the post on these social websites. But, we cannot find the influence of these posts without knowing the sentiments of the posts. Here we have discussed various methodologies for the sentiment analysis. Online reviews are important for the developers to improve their products and can compete in the market properly. There are several dimensions which help us to know the sentiment of the reviews on the websites. These analyses are also used to find some patterns and draw the conclusions. Hence we can find the favorable and as well as unfavorable parts of the posts. These reviews are important to analyze but there are a very few techniques to determine the sentiment of the reviews [2]. For example, one has given the approach to know the multidimensional rating from various reviews. From the vast amount of reviews on the internet based on different areas, it is very important to know about the different sentiments of the people.
{"title":"An analysis of ICON aircraft log through sentiment analysis using SVM and Naive Bayes classification","authors":"Harshit Sinha, Rahul Bagga, G. Raj","doi":"10.1109/INCITE.2016.7857589","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857589","url":null,"abstract":"A more of work has been made to check the content of the social websites, especially the posts or the views of the users; their sentiment analysis has to be done. The main aim is to analyze the sentiments and then to compare those views with the main topics and other platforms. There are enormous amount of the posts given by the users on the social websites. But some of the people are interested in knowing the influence and the relations among those posts. Many of the researchers find the influence of the post on these social websites. But, we cannot find the influence of these posts without knowing the sentiments of the posts. Here we have discussed various methodologies for the sentiment analysis. Online reviews are important for the developers to improve their products and can compete in the market properly. There are several dimensions which help us to know the sentiment of the reviews on the websites. These analyses are also used to find some patterns and draw the conclusions. Hence we can find the favorable and as well as unfavorable parts of the posts. These reviews are important to analyze but there are a very few techniques to determine the sentiment of the reviews [2]. For example, one has given the approach to know the multidimensional rating from various reviews. From the vast amount of reviews on the internet based on different areas, it is very important to know about the different sentiments of the people.","PeriodicalId":59618,"journal":{"name":"下一代","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73484761","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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