Twitter Sentiment Analysis using NLP: A Data-Driven Approach

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Om Tulsani; Prashant Kulkarni; Shubhangi Tidake

Twitter Sentiment Analysis using NLP: A Data-Driven Approach

Authors: Om Tulsani, Prashant Kulkarni, Shubhangi Tidake

Unique Paper ID: 182456
Volume: 12
Issue: 2
PageNo: 1892-1895

Keywords: Deep Learning Natural Language Processing Sentiment Analysis Text Classification Twitter.

Abstract:
In the age of digital communication, social media platforms like Twitter have evolved into rich sources of real-time public opinion and sentiment. This study presents a systematic approach to sentiment analysis of Twitter data using Natural Language Processing (NLP). The research aims to classify tweets into positive and negative sentiments through the development of a sentiment classifier trained on preprocessed Twitter data. The methodology spans data acquisition, preprocessing, visualization via word clouds, model training using deep learning techniques, and final deployment strategies. The findings demonstrate that NLP-based sentiment analysis can effectively interpret public sentiment, offering insights for applications in marketing, politics, and public opinion mining. The developed model achieved 94% accuracy on test data, demonstrating high effectiveness in binary sentiment classification.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 1892-1895

Twitter Sentiment Analysis using NLP: A Data-Driven Approach

Available:https://ijirt.org/article?manuscript=182456

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now