Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob

Nehal, Divyank Jeet, Vandana Sharma, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449540

TitleTwitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob
AuthorsNehal, Divyank Jeet, Vandana Sharma, Sushruta Mishra, Celestine Iwendi and Jude Osamor
TypeConference paper
Abstract

On an average, approximately 7000 tweets are communicated each second and in total it piles up to around 300 billion tweets every year. Society are free to contribute their opinions on public platform and hence it acts as a reliable interface to assess society ongoing viewpoint and attitude over any matter or event. Consumers very often make use of social media to exchange their views about anything. Business may get domain for enhancement and smooth interpretation of the behavior of people regarding various facts through opinion mining. Thus to carry out this mining of opinions on social media interface, textual categorization with language analysis is of great help. With the help of NLP token tool, phrases can be divided into various word series after dropping stop phrases. Larger tweets tokenizing and classifying into distinct labels is a concern. Thus, the main objective of this framework is to process the tweets based on specific keywords given by user, categorize these phrases into negative, positive and neutral ones. TextBlob module assists users and developers to interpret user sentiments about a news. This research tries to give suggestion a textual opinion assessment on social media samples utilizing the NLTK and TextBlob modules.

Year2023
Conference2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)
PublisherIEEE
Accepted author manuscript
File Access Level
Open (open metadata and files)
Publication dates
Published12 Dec 2023
Published online05 Mar 2024
Journal2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)
ISBN9798350393248
Digital Object Identifier (DOI)https://doi.org/10.1109/iccakm58659.2023.10449540
Web address (URL)http://dx.doi.org/10.1109/iccakm58659.2023.10449540

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