際際滷shows by User: subarnopal1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: subarnopal1 / Fri, 09 Jun 2017 04:23:14 GMT 際際滷Share feed for 際際滷shows by User: subarnopal1 Sentiment Analysis on Twitter /slideshow/sentiment-analysis-on-twitter-76786851/76786851 abc-170609042314
Sentiment analysis or opinion mining is a process of categorizing and identifying the sentiment expressed in a particular text. The need of automatic sentiment retrieval of the text is quite high as a number of reviews obtained from the Internet sources like Twitter are huge in number. These reviews or opinions on popular products or events help in determining the public opinion towards the issue. An averaged histogram model is proposed in the process that deals with text classification in continuous variable approach. After data cleaning and feature extraction from the reviews, average histograms are constructed for every class, containing a generalized feature representation in that particular class, namely positive and negative. Histograms of every test elements are then classified using k-NN, Bayesian Classifier and LSTM network. This work is then implemented in Android integrated with Twitter. The user will have to provide the topic for analysis. The Application will show the result as the percentage of positive review tweets in favor of the topic using Bayesian Classifier.]]>
Sentiment analysis or opinion mining is a process of categorizing and identifying the sentiment expressed in a particular text. The need of automatic sentiment retrieval of the text is quite high as a number of reviews obtained from the Internet sources like Twitter are huge in number. These reviews or opinions on popular products or events help in determining the public opinion towards the issue. An averaged histogram model is proposed in the process that deals with text classification in continuous variable approach. After data cleaning and feature extraction from the reviews, average histograms are constructed for every class, containing a generalized feature representation in that particular class, namely positive and negative. Histograms of every test elements are then classified using k-NN, Bayesian Classifier and LSTM network. This work is then implemented in Android integrated with Twitter. The user will have to provide the topic for analysis. The Application will show the result as the percentage of positive review tweets in favor of the topic using Bayesian Classifier.]]> Fri, 09 Jun 2017 04:23:14 GMT /slideshow/sentiment-analysis-on-twitter-76786851/76786851 subarnopal1@slideshare.net(subarnopal1) Sentiment Analysis on Twitter subarnopal1 Sentiment analysis or opinion mining is a process of categorizing and identifying the sentiment expressed in a particular text. The need of automatic sentiment retrieval of the text is quite high as a number of reviews obtained from the Internet sources like Twitter are huge in number. These reviews or opinions on popular products or events help in determining the public opinion towards the issue. An averaged histogram model is proposed in the process that deals with text classification in continuous variable approach. After data cleaning and feature extraction from the reviews, average histograms are constructed for every class, containing a generalized feature representation in that particular class, namely positive and negative. Histograms of every test elements are then classified using k-NN, Bayesian Classifier and LSTM network. This work is then implemented in Android integrated with Twitter. The user will have to provide the topic for analysis. The Application will show the result as the percentage of positive review tweets in favor of the topic using Bayesian Classifier. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/abc-170609042314-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Sentiment analysis or opinion mining is a process of categorizing and identifying the sentiment expressed in a particular text. The need of automatic sentiment retrieval of the text is quite high as a number of reviews obtained from the Internet sources like Twitter are huge in number. These reviews or opinions on popular products or events help in determining the public opinion towards the issue. An averaged histogram model is proposed in the process that deals with text classification in continuous variable approach. After data cleaning and feature extraction from the reviews, average histograms are constructed for every class, containing a generalized feature representation in that particular class, namely positive and negative. Histograms of every test elements are then classified using k-NN, Bayesian Classifier and LSTM network. This work is then implemented in Android integrated with Twitter. The user will have to provide the topic for analysis. The Application will show the result as the percentage of positive review tweets in favor of the topic using Bayesian Classifier.
Sentiment Analysis on Twitter from Subarno Pal
]]> 884 8 https://cdn.slidesharecdn.com/ss_thumbnails/abc-170609042314-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Medical Image Analysis and Its Application /slideshow/medical-image-analysis-and-its-application-61422074/61422074 medimg1-160427151447
Medical Image Computation and Its application along with its future scope of research work ..]]>
Medical Image Computation and Its application along with its future scope of research work ..]]> Wed, 27 Apr 2016 15:14:47 GMT /slideshow/medical-image-analysis-and-its-application-61422074/61422074 subarnopal1@slideshare.net(subarnopal1) Medical Image Analysis and Its Application subarnopal1 Medical Image Computation and Its application along with its future scope of research work .. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/medimg1-160427151447-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Medical Image Computation and Its application along with its future scope of research work ..
Medical Image Analysis and Its Application from Subarno Pal
]]> 1180 8 https://cdn.slidesharecdn.com/ss_thumbnails/medimg1-160427151447-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/abc-170609042314-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sentiment-analysis-on-twitter-76786851/76786851 Sentiment Analysis on ... https://cdn.slidesharecdn.com/ss_thumbnails/medimg1-160427151447-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/medical-image-analysis-and-its-application-61422074/61422074 Medical Image Analysis...