- Developed a machine learning model for multilingual sentiment analysis, specifically targeting hate speech in Hinglish tweets.
- Model classifies tweets into positive, negative, and neutral sentiments, providing a sentiment score for each using supervised learning algorithms and ensemble model.
- Work is culminated in the publication of a research paper in the SCPE journal, showcasing the model's effectiveness and innovation in handling codemixed language data.
- Research Paper Link : https://www.scpe.org/index.php/scpe/article/view/2375
-
Notifications
You must be signed in to change notification settings - Fork 0
A Machine Learning Model for multilingual sentiment analysis - hate speech (hignlish). Classifies the twtitter tweets in sentiments positive, negative and neutral with a score as well.
License
anishsingh42/Multilingual-Sentiment-Analysis-Hate-speech-Hinglish-
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A Machine Learning Model for multilingual sentiment analysis - hate speech (hignlish). Classifies the twtitter tweets in sentiments positive, negative and neutral with a score as well.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published