Research Article
Twitter Sentiment Analysis Using Binary Classification Technique
330 downloads
@INPROCEEDINGS{10.1007/978-3-319-46909-6_36, author={B. Supriya and Vish Kallimani and S. Prakash and C. Akki}, title={Twitter Sentiment Analysis Using Binary Classification Technique}, proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers}, proceedings_a={ICTCC}, year={2017}, month={1}, keywords={Sentiment analysis Recall Precision Heterogeneous Architecture Research Platform (HARP)}, doi={10.1007/978-3-319-46909-6_36} }
- B. Supriya
Vish Kallimani
S. Prakash
C. Akki
Year: 2017
Twitter Sentiment Analysis Using Binary Classification Technique
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_36
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.
Copyright © 2016–2024 EAI