Title

Sentiment analysis of twitter data

Authors

Amrita Shelar, Kean University
Ching Yu Huang, Kean University

Document Type

Conference Proceeding

Publication Date

12-1-2018

Abstract

We aim to perform sentiment analysis to explore twitter data referring to tweets relating to donations, fundraising or charities. This paper covers techniques and approaches to capture polarity of sentiments of people towards donating for any cause under exploratory data analysis. By using Natural Language Processing Toolkit (NLTK) we determine whether a tweet is of neutral, positive or negative polarity. Tweets relative of donations is the data we use as training data and use it to gather prospective clients as a future goal.

Publication Title

Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018

First Page Number

1301

Last Page Number

1302

DOI

10.1109/CSCI46756.2018.00252

Recommended Citation

Shelar, Amrita and Huang, Ching Yu, "Sentiment analysis of twitter data" (2018). Kean Publications. 1442.
https://digitalcommons.kean.edu/keanpublications/1442