Sentiment Analysis of a Topic on TWITTER
| dc.contributor.author | Dhanush, M | |
| dc.contributor.author | Ijaz Nizami, S | |
| dc.contributor.author | Abhijit, Patra | |
| dc.date.accessioned | 2018-09-05T11:16:24Z | |
| dc.date.available | 2018-09-05T11:16:24Z | |
| dc.date.issued | 2018-09-05T11:16:24Z | |
| dc.description.abstract | The wide spread of World Wide Web has brought a new way of expressing the sentiments of individuals. It is also a medium with a huge amount of information where users can view the opinion of other users that are classified into different sentiment classes and are increasingly growing as a key factor in decision making. Social networking sites like Twitter, Facebook, Google+ are rapidly gaining popularity as they allow people to share and express their views about topics, have discussion with different communities, or post messages across the world. There has been lot of work in the field of sentiment analysis of twitter data. This survey focuses mainly on sentiment analysis of twitter data which is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous and are either positive or negative, or neutral in some cases. Twitter is one of the most popular social media sites and often becomes the primary source of information. Twitter provides both researchers and practitioners a free Application Programming Interface (API) which allows them to gather and analyse large data sets of tweets. Twitter data are not only tweet texts, as Twitter’s API provides more information to perform interesting research studies. The purpose of this work is to evaluate a topic and also calculate how many people have a positive or a negative view, based on the text reviews using sentiment analysis taking reviews from Twitter. Keywords: Popularity prediction, Sentiment Analysis, Natural Language Processing, Lexical Analysis I | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/9814 | |
| dc.language.iso | en | en_US |
| dc.subject | Dhanush M | en_US |
| dc.subject | Ijaz Nizami S | en_US |
| dc.subject | Abhijit Patra | en_US |
| dc.subject | Pranoy Biswas | en_US |
| dc.subject | 1NH14IS033 | en_US |
| dc.subject | 1NH14IS041 | en_US |
| dc.subject | 1NH14IS133 | en_US |
| dc.subject | 1NH14IS135 | en_US |
| dc.title | Sentiment Analysis of a Topic on TWITTER | en_US |
| dc.type | Other | en_US |