@inproceedings{e3ab2cda2a6240f6917ca60641cdbf0a,
title = "Sentiment analysis of twitter data",
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.",
keywords = "NLTK, Sentiment, Tweepy, Twitter",
author = "Amrita Shelar and Huang, {Ching Yu}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018 ; Conference date: 13-12-2018 Through 15-12-2018",
year = "2018",
month = dec,
doi = "10.1109/CSCI46756.2018.00252",
language = "English",
series = "Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1301--1302",
booktitle = "Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018",
}