TY  - JOUR
TI  - A Sentiment Computing for the Opinions Based on the Twitter 
AU  - Pooja Dhamanekar
AU  -  Pooja Bindage
AU  -  Chetan Arage
AU  -  Mahesh Gaikwad
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833227
VL  - 3
IS  - 3
SP  - 899	
EP  - 904
AB  - 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.