title,doi,url,abstract,journal,publication_year,pmid,arxiv
A Sentiment Computing for the Opinions Based on the Twitter , https://doi.org/10.32628/IJSRCSEIT, https://ijsrcseit.com/CSEIT1833227, The era of social networking has increased the amount of data generated by the user. People from all over the world share their opinions and thoughts on the micro-blogging sites on daily basis. As the use of internet such as websites social networks and blogs increases online portals reviews opinions recommendations ratings and feedbacks are also generated by users. Twitter is one of the most widely used micro-blogging site where people share their reviews in the form of tweets. This user can give their opinion on anything like books people hotels products research events etc. These sentiments become very useful for businesses governments and individuals. However there are several challenges facing the sentiment analysis and evaluation process. These challenges become mountain in analyzing the accurate meaning of sentiments and measuring sentiment polarity. Therefore we propose an innovative method to do the sentiment computing for opinions. Our method is based on the social media data of a Tweets a Word Emotion Association Network (WEAN) is built to jointly express its semantics and emotions which lays the foundation for the opinion sentiment computation. , International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2018, CSEIT1833227