Restaurant business is a prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest part is to choose a perfect place where a restaurant business will flourish. Without doing a perfect research on this area, setting up a restaurant may lead to an immediate downfall. In recent time, for choosing a preferred restaurant location and calculating the estimated risk, people are now hiring professionals to do ground check and here the data scientists are coming into play as a bigshot. This research is focused on suggesting a suitable place for setting up a restaurant business based on the existing data from Yelp where 75 features have been extracted for supervised machine learning. Our model will also calculate the expected rating that a restaurant will get depending on the features the restaurant possesses. Several machine learning algorithms (Support Vector Machine, Decision Tree, Logistic Regression and Decision Tree with presort) have been used and juxtaposed to nurture out the suitable one. As yelp’s review is authentic and it is maintained regularly, we have considered the rating of a business as the point of suggestion. We have also looked at the comparative analysis of these algorithms and searched for an algorithm that gives us the best result.
{"title":"A Machine Learning Approach to Suggest Ideal Geographical Location for New Restaurant Establishment","authors":"Ibne Farabi Shihab, Maliha Moonwara Oishi, Samiul Islam, Kalyan Banik, Hossain Arif","doi":"10.1109/R10-HTC.2018.8629845","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629845","url":null,"abstract":"Restaurant business is a prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest part is to choose a perfect place where a restaurant business will flourish. Without doing a perfect research on this area, setting up a restaurant may lead to an immediate downfall. In recent time, for choosing a preferred restaurant location and calculating the estimated risk, people are now hiring professionals to do ground check and here the data scientists are coming into play as a bigshot. This research is focused on suggesting a suitable place for setting up a restaurant business based on the existing data from Yelp where 75 features have been extracted for supervised machine learning. Our model will also calculate the expected rating that a restaurant will get depending on the features the restaurant possesses. Several machine learning algorithms (Support Vector Machine, Decision Tree, Logistic Regression and Decision Tree with presort) have been used and juxtaposed to nurture out the suitable one. As yelp’s review is authentic and it is maintained regularly, we have considered the rating of a business as the point of suggestion. We have also looked at the comparative analysis of these algorithms and searched for an algorithm that gives us the best result.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"925 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114428002","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629801
P. Piyumal, A. Ranaweera, S. Kalingamudali, N. Kularatna
Typical standalone solar photovoltaic (PV) systems use battery bank as the energy storage device. The battery bank is charged by using a solar charge controller connected to a solar array. For similar PV systems, charging efficiency mostly depends on the efficiency of DC-DC converter available inside the charge controller. However, considerable amount of usable energy will be wasted during the charging process. In this work, a method is proposed to utilize this wasted energy while enhancing the end to end efficiency of standalone PV systems. When an empty capacitor is charged by an external source, it stores only a half of the energy delivered by the source as compared to the case of an electrochemical battery. As a result, 50% of useful energy is lost in the charging loop of a capacitor. If a useful resistive load is connected to this loop, some amount of energy can be utilized by doing a beneficial work. In this study, a DC-DC converter and battery bank has been chosen as the useful load in the capacitor charging loop, and a supercapacitor (SC) bank is used replacing the conventional capacitor. Therefore, total energy loss can be minimized by storing energy in both battery and SC bank. The energy stored in the SCs could be used for driving loads with required electronics. Consequently, it leads to an improvement of end to end efficiency of the PV system.
{"title":"Novel Approach for Harnessing Maximum Energy from PV Systems using Supercapacitors","authors":"P. Piyumal, A. Ranaweera, S. Kalingamudali, N. Kularatna","doi":"10.1109/R10-HTC.2018.8629801","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629801","url":null,"abstract":"Typical standalone solar photovoltaic (PV) systems use battery bank as the energy storage device. The battery bank is charged by using a solar charge controller connected to a solar array. For similar PV systems, charging efficiency mostly depends on the efficiency of DC-DC converter available inside the charge controller. However, considerable amount of usable energy will be wasted during the charging process. In this work, a method is proposed to utilize this wasted energy while enhancing the end to end efficiency of standalone PV systems. When an empty capacitor is charged by an external source, it stores only a half of the energy delivered by the source as compared to the case of an electrochemical battery. As a result, 50% of useful energy is lost in the charging loop of a capacitor. If a useful resistive load is connected to this loop, some amount of energy can be utilized by doing a beneficial work. In this study, a DC-DC converter and battery bank has been chosen as the useful load in the capacitor charging loop, and a supercapacitor (SC) bank is used replacing the conventional capacitor. Therefore, total energy loss can be minimized by storing energy in both battery and SC bank. The energy stored in the SCs could be used for driving loads with required electronics. Consequently, it leads to an improvement of end to end efficiency of the PV system.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129773900","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629818
Dian Rusdiyanto, F. Zulkifli, E. Rahardjo
This paper presents the design of Global Positioning System (GPS) antenna that can be used as guiding direction for fishermen on a handset or integrated with small boat. The antenna has dimension 67 mm × 67 mm × 1.67 mm which is fabricated using FR4 material with dielectric constant 4.6. The CST Microwave Studio software is used to study the characteristics of the proposed antenna. This paper discuss the impedance bandwidth, gain, radiation pattern and circular polarization bandwidth (CPBW) of the antenna design. The impedance bandwidth showed 36 MHz of bandwidth in frequency range 1568 MHz - 1604 MHz where gain achieved 5.77 dBi. CPBW is 17 MHz from frequency 1568 MHz to 1685 MHz.
本文设计了一种可在手机上或集成在小船上作为渔民导航方向的全球定位系统(GPS)天线。天线尺寸为67 mm × 67 mm × 1.67 mm，采用介电常数4.6的FR4材料制作。利用CST Microwave Studio软件对所设计天线的特性进行了研究。本文讨论了天线设计的阻抗带宽、增益、辐射方向图和圆极化带宽(CPBW)。阻抗带宽在1568 MHz - 1604 MHz频率范围内显示36 MHz带宽，增益达到5.77 dBi。CPBW从1568 MHz到1685 MHz的频率为17 MHz。
{"title":"A Circularly Polarized Microstrip Antenna for GPS Application as Small Boat Guidance","authors":"Dian Rusdiyanto, F. Zulkifli, E. Rahardjo","doi":"10.1109/R10-HTC.2018.8629818","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629818","url":null,"abstract":"This paper presents the design of Global Positioning System (GPS) antenna that can be used as guiding direction for fishermen on a handset or integrated with small boat. The antenna has dimension 67 mm × 67 mm × 1.67 mm which is fabricated using FR4 material with dielectric constant 4.6. The CST Microwave Studio software is used to study the characteristics of the proposed antenna. This paper discuss the impedance bandwidth, gain, radiation pattern and circular polarization bandwidth (CPBW) of the antenna design. The impedance bandwidth showed 36 MHz of bandwidth in frequency range 1568 MHz - 1604 MHz where gain achieved 5.77 dBi. CPBW is 17 MHz from frequency 1568 MHz to 1685 MHz.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128778760","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629846
B. N, H. Rajaguru
Soft computing techniques can be used in automated classification of dementia, to help the clinician in dementia diagnosis. This research paper uses Harmony Search optimization technique to classify dementia through MRI images. In literature, Harmony Search algorithm is used extensively for optimization problem, feature selection and training Neural Networks. But using Harmony Search for classification of medical images is ingenious. OASIS cross sectional dataset containing MRI brain images of 30 non-dementia and 30 dementia patients are used in this analysis. After the selection of optimum values for Harmony Memory Considering Rate and Pitch Adjusting Rate, this technique yields Goodness Detection Ratio of 94.73% while Particle Swarm optimization and Artificial Bee Colony with optimum weights yields only 64.15% and 62.7% in dementia classification respectively.
{"title":"Classification of Dementia Using Harmony Search Optimization Technique","authors":"B. N, H. Rajaguru","doi":"10.1109/R10-HTC.2018.8629846","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629846","url":null,"abstract":"Soft computing techniques can be used in automated classification of dementia, to help the clinician in dementia diagnosis. This research paper uses Harmony Search optimization technique to classify dementia through MRI images. In literature, Harmony Search algorithm is used extensively for optimization problem, feature selection and training Neural Networks. But using Harmony Search for classification of medical images is ingenious. OASIS cross sectional dataset containing MRI brain images of 30 non-dementia and 30 dementia patients are used in this analysis. After the selection of optimum values for Harmony Memory Considering Rate and Pitch Adjusting Rate, this technique yields Goodness Detection Ratio of 94.73% while Particle Swarm optimization and Artificial Bee Colony with optimum weights yields only 64.15% and 62.7% in dementia classification respectively.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126885850","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629834
S. Abeywardhana, H. Subhashini, W. Wasalaarachchi, G. Wimalarathna, M. Ekanayake, G. Godaliyadda, J. Wijayakulasooriya, R. Rathnayake
Fetal movement patterns are a measurement of fetal well-being. Therefore, it is important to ascertain fetal movements to avoid fetal morbidity and death. In this research, accelerometer data acquired from pregnant mothers were analyzed in order to recognize the fetal movement patterns. Identification of fetal movements from the accelerometer data is arduous due to the presence of mother’s respiratory movements and mother’s laugh signals in the data. Hence, time domain analysis was utilized to separate fetal movements from the data. The fetal movements were separated hierarchically by considering the Eigenvalues and Eigenvectors of the auto correlation matrix. The proposed method identified fetal movements with an accuracy of 95%. As the next scope of this work, it is expected to identify abnormalities in the fetal movements to predict the well-being of the fetus.
{"title":"Time Domain Analysis for Fetal Movement Detection Using Accelerometer Data","authors":"S. Abeywardhana, H. Subhashini, W. Wasalaarachchi, G. Wimalarathna, M. Ekanayake, G. Godaliyadda, J. Wijayakulasooriya, R. Rathnayake","doi":"10.1109/R10-HTC.2018.8629834","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629834","url":null,"abstract":"Fetal movement patterns are a measurement of fetal well-being. Therefore, it is important to ascertain fetal movements to avoid fetal morbidity and death. In this research, accelerometer data acquired from pregnant mothers were analyzed in order to recognize the fetal movement patterns. Identification of fetal movements from the accelerometer data is arduous due to the presence of mother’s respiratory movements and mother’s laugh signals in the data. Hence, time domain analysis was utilized to separate fetal movements from the data. The fetal movements were separated hierarchically by considering the Eigenvalues and Eigenvectors of the auto correlation matrix. The proposed method identified fetal movements with an accuracy of 95%. As the next scope of this work, it is expected to identify abnormalities in the fetal movements to predict the well-being of the fetus.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127937017","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629855
A. A. Bisu, Andrew Gallant, Hongjian Sun, Katharine Brigham, Alan Purvis
In this paper, realistic telemedicine implementation scenarios with architecture are proposed to help in extending quality healthcare using satellite and integrated satellite-terrestrial networks (ISTNs). Telemedicine is the use of telecommunications and information technology to extend healthcare service delivery to underserved, remotely isolated communities. Global coverage, broadcast/multicast capability and the high capacity of satellites in Geostationary Earth Orbit (GEO) could potentially serve as a tool to extend quality healthcare to underserved remote rural areas. However, Long End-to-End latency or Round-Trip-Time (RTT) attributed to the GEO satellites could degrade the performance of data communications leading underutilisation of the high available capacity due to high link errors and the long latency, particularly when using Transmission Control Protocol (TCP) over the internet, which accounts for about 90% of the internet traffic today. The actual latency (RTT) of GEO satellites is about 1700ms to 3000ms, which could lead to capacity utilisation as low as 39% of maximum 464kbps available capacity of our testbed service provider. However, TCP Performance could be improved by adopting other transmission protocols which we are currently testing and investigating possible modifications for even more enhance performance over satellite and hybrid (ISTN) channels network environment.
{"title":"Telemedicine via Satellite: Improving Access to Healthcare for Remote Rural Communities in Africa","authors":"A. A. Bisu, Andrew Gallant, Hongjian Sun, Katharine Brigham, Alan Purvis","doi":"10.1109/R10-HTC.2018.8629855","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629855","url":null,"abstract":"In this paper, realistic telemedicine implementation scenarios with architecture are proposed to help in extending quality healthcare using satellite and integrated satellite-terrestrial networks (ISTNs). Telemedicine is the use of telecommunications and information technology to extend healthcare service delivery to underserved, remotely isolated communities. Global coverage, broadcast/multicast capability and the high capacity of satellites in Geostationary Earth Orbit (GEO) could potentially serve as a tool to extend quality healthcare to underserved remote rural areas. However, Long End-to-End latency or Round-Trip-Time (RTT) attributed to the GEO satellites could degrade the performance of data communications leading underutilisation of the high available capacity due to high link errors and the long latency, particularly when using Transmission Control Protocol (TCP) over the internet, which accounts for about 90% of the internet traffic today. The actual latency (RTT) of GEO satellites is about 1700ms to 3000ms, which could lead to capacity utilisation as low as 39% of maximum 464kbps available capacity of our testbed service provider. However, TCP Performance could be improved by adopting other transmission protocols which we are currently testing and investigating possible modifications for even more enhance performance over satellite and hybrid (ISTN) channels network environment.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116977352","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629827
Suneth Pathirana, D. Asirvatham, M. Johar
Brain-Machine interfacing (BCI) is an exceptional aspect of Human-Computer Interaction (HCI). BCI enables people with disabilities to interact hands-free with computers or other electronic devices using 'mental commands.' A typical BCI system emulates the basic functions of a typical input device such as a mouse by recognizing the user's intentions. Intention detection is usually achieved through the Electroencephalography (EEG) technology. In the context of BCI, virtual keyboards are often employed to simulate the physical keyboard functions. It was studied that the on-screen keyboards facilitated by the operating system of the computer are inconvenient for the BCI users. Unlike using a physical pointing device, the BCI user has to apply extra mental energy to move the cursor then to stop it on the exact key. Therefore, the requirement of designing an optimized virtual keyboard especially for BCI purpose is realized. In fact, the available keyboard layouts are inappropriate for BCIs. Alternatively, a key matrix has been suggested by some researchers. We introduce a better on-screen keyboard which has exhibited an enhancement of 11% in efficiency, by the meaning of typing speed compared to the existing designs. In addition, extended functionalities such as keyboard shortcuts are also integrated.
{"title":"Designing Virtual Keyboards for Brain-Computer Interfaces","authors":"Suneth Pathirana, D. Asirvatham, M. Johar","doi":"10.1109/R10-HTC.2018.8629827","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629827","url":null,"abstract":"Brain-Machine interfacing (BCI) is an exceptional aspect of Human-Computer Interaction (HCI). BCI enables people with disabilities to interact hands-free with computers or other electronic devices using 'mental commands.' A typical BCI system emulates the basic functions of a typical input device such as a mouse by recognizing the user's intentions. Intention detection is usually achieved through the Electroencephalography (EEG) technology. In the context of BCI, virtual keyboards are often employed to simulate the physical keyboard functions. It was studied that the on-screen keyboards facilitated by the operating system of the computer are inconvenient for the BCI users. Unlike using a physical pointing device, the BCI user has to apply extra mental energy to move the cursor then to stop it on the exact key. Therefore, the requirement of designing an optimized virtual keyboard especially for BCI purpose is realized. In fact, the available keyboard layouts are inappropriate for BCIs. Alternatively, a key matrix has been suggested by some researchers. We introduce a better on-screen keyboard which has exhibited an enhancement of 11% in efficiency, by the meaning of typing speed compared to the existing designs. In addition, extended functionalities such as keyboard shortcuts are also integrated.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079704","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629825
M. Hui, H. Nisar, Yeap Kim Ho, Teh Peh Chiong
In this paper, a video based contactless heart rate monitoring system for a person driving a car is proposed. This system uses photoplethysmography (PPG) signal extracted from subject's face to measure his heart rate. The PPG signal acquired is effected by the illumination variation and motion artifacts that are induced when the car is moving in real life scenario. Hence, a series of filtering algorithms are applied to reduce the noise to obtain accurate heart rate. The video of subject's face is recorded for ten seconds using dashcam at a frame rate of $30fps$. The resolution of image is $640x480$ pixels. In each video frame, the subject's face is detected using Viola-Jones face detector algorithm and region of interest (ROI) is segmented to compute the average Red-Green-Blue (RGB) values. The raw PPG signal is then filtered using a series of algorithms such as signal detrending, signal normalization, illumination variation reduction, bandpass filtering, signal smoothing and Joint Approximate Diagonalization Eigenmatrices (JADE) Independent Component Analysis (ICA). Fast Fourier Transform (FFT) is used to transform the filtered PPG signal into frequency domain for peak detection. The frequency component that corresponds to the peak amplitude is the heart rate of the subject, measured in beats per minute (bpm).
{"title":"A Video based Heart Rate Monitoring System for Drivers Using Photoplethysmography Signal","authors":"M. Hui, H. Nisar, Yeap Kim Ho, Teh Peh Chiong","doi":"10.1109/R10-HTC.2018.8629825","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629825","url":null,"abstract":"In this paper, a video based contactless heart rate monitoring system for a person driving a car is proposed. This system uses photoplethysmography (PPG) signal extracted from subject's face to measure his heart rate. The PPG signal acquired is effected by the illumination variation and motion artifacts that are induced when the car is moving in real life scenario. Hence, a series of filtering algorithms are applied to reduce the noise to obtain accurate heart rate. The video of subject's face is recorded for ten seconds using dashcam at a frame rate of $30fps$. The resolution of image is $640x480$ pixels. In each video frame, the subject's face is detected using Viola-Jones face detector algorithm and region of interest (ROI) is segmented to compute the average Red-Green-Blue (RGB) values. The raw PPG signal is then filtered using a series of algorithms such as signal detrending, signal normalization, illumination variation reduction, bandpass filtering, signal smoothing and Joint Approximate Diagonalization Eigenmatrices (JADE) Independent Component Analysis (ICA). Fast Fourier Transform (FFT) is used to transform the filtered PPG signal into frequency domain for peak detection. The frequency component that corresponds to the peak amplitude is the heart rate of the subject, measured in beats per minute (bpm).","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115348386","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 : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629841
A. L. Senanayake, Y. Priyadarshana, L. Ranathunga
Measuring human perception can be introduced as one of the most vital mechanisms in today’s world. This is very important in the fields of social media, business decision making, education, military, biological appliances, making political decisions and more. Sentiment scoring is the key technical factor for measuring human perception under natural language processing. The parts of speech are the main factors behind sentiment scoring. Even though there are valid approaches to determine the sentiment score based on adjectives, verbs or adverbs, still there is a demand for a valid noun scoring methodology. Nouns can be introduced as the most neglected part of speech in sentiment scoring. Almost all the existing noun scoring approaches are based on adjective centric or adjective-adverb centric computational methodologies. This paper brings a novel and valid approach to determine the scoring value for nouns. New noun scoring axioms have been introduced based on the degrees of noun; subjective, objective, implicit and explicit. Then using these axioms, novel set of noun sentiment scoring modules have been implemented. These modules have been evaluated using movie corpus as the data domain and the experimental results show promising results.
{"title":"Nouns Speak: A Novel Approach for Noun Sentiment Scoring","authors":"A. L. Senanayake, Y. Priyadarshana, L. Ranathunga","doi":"10.1109/R10-HTC.2018.8629841","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629841","url":null,"abstract":"Measuring human perception can be introduced as one of the most vital mechanisms in today’s world. This is very important in the fields of social media, business decision making, education, military, biological appliances, making political decisions and more. Sentiment scoring is the key technical factor for measuring human perception under natural language processing. The parts of speech are the main factors behind sentiment scoring. Even though there are valid approaches to determine the sentiment score based on adjectives, verbs or adverbs, still there is a demand for a valid noun scoring methodology. Nouns can be introduced as the most neglected part of speech in sentiment scoring. Almost all the existing noun scoring approaches are based on adjective centric or adjective-adverb centric computational methodologies. This paper brings a novel and valid approach to determine the scoring value for nouns. New noun scoring axioms have been introduced based on the degrees of noun; subjective, objective, implicit and explicit. Then using these axioms, novel set of noun sentiment scoring modules have been implemented. These modules have been evaluated using movie corpus as the data domain and the experimental results show promising results.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125044662","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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