Name
Abstract | ||
|---|---|---|
The popularity of World Wide Web has brought a latest way of expressing the sentiments of individuals. Millions of users express their sentiments on Twitter, making it a precious platform for analyzing the public sentiment. This paper proposes a 3-step algorithm for sentiment analysis. Cleaning, Entity identification, and Classification are the 3 steps. Finally we measure the performance of the classifier using recall, precision and accuracy. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-46909-6_36 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | DocType | Volume |
Sentiment analysis,Recall,Precision,Heterogeneous Architecture Research Platform (HARP) | Conference | 168 |
ISSN | Citations | PageRank |
1867-8211 | 2 | 0.38 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. N. Supriya | 1 | 2 | 0.38 |
| Vish Kallimani | 2 | 2 | 0.38 |
| S. Prakash | 3 | 2 | 0.38 |
| C. B. Akki | 4 | 2 | 0.38 |