Assessing Accuracy: A Study of Lexicon and Rule-Based Packages in R and Python for Sentiment Analysis
Sentiment analysis has become a focal point of interdisciplinary research, prompting the use of diverse methodologies and the continual emergence of programming language packages. Notably, Python and R have introduced comprehensive packages in this realm. In this study, we analyze established packag...
Main Authors: | Amin Mahmoudi, Dariusz Jemielniak, Leon Ciechanowski |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10398176/ |
Similar Items
-
GENERATING A MALAY SENTIMENT LEXICON BASED ON WORDNET
by: Nur Sharmini Alexander, et al.
Published: (2017-06-01) -
Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis
by: Xianghua Fu, et al.
Published: (2018-01-01) -
AUTOMATICALLY GENERATING A SENTIMENT LEXICON FOR THE MALAY LANGUAGE
by: Mohammad Darwich, et al.
Published: (2016-06-01) -
Domain-Specific Aspect-Sentiment Pair Extraction Using Rules and Compound Noun Lexicon for Customer Reviews
by: Noor Rizvana Ahamed Kabeer, et al.
Published: (2018-11-01) -
The Construction of Sentiment Lexicon Based on Context-Dependent Part-of-Speech Chunks for Semantic Disambiguation
by: Fulian Yin, et al.
Published: (2020-01-01)