Work

Lexicon Based Sentiment Analysis of Twitter Data

Year: 2017

Type: article

Abstract: Sentiment Analysis of twitter data is an active area of Natural Language Processing research. This study explores a unsupervised lexicon based approach to calculate polarity of tweets fro a publicly available twitter corpus. Along with lexicon based search of sentiment bearing words, several rule based methods are used to get the final polarity count of tweets. This study takes into account effect of negation, capitalization, multiple punctuation, slang, and degree modifier

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2017.10130

Author: Dibakar Ray

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2766052370

FWCI: 0.653

Cites: 34

Cited by: 8

Related to: 10