https://github.com/abhilashg001/bertmelon
Sentiment analysis using BERT on Hindi-English code-mixed data
https://github.com/abhilashg001/bertmelon
google-bert hindi-english mixed-data sentiment-analysis
Last synced: about 1 month ago
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Sentiment analysis using BERT on Hindi-English code-mixed data
- Host: GitHub
- URL: https://github.com/abhilashg001/bertmelon
- Owner: AbhilashG001
- Created: 2020-03-07T04:43:10.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-14T06:38:15.000Z (about 5 years ago)
- Last Synced: 2025-04-07T21:02:05.192Z (about 1 month ago)
- Topics: google-bert, hindi-english, mixed-data, sentiment-analysis
- Language: Jupyter Notebook
- Size: 266 KB
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# BERTMelon
Sentiment analysis using [BERT](https://github.com/google-research/bert) on Hindi-English code-mixed data.
## Introduction
According to Wikipedia -
> Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
## Task
To predict the sentiment of code-mixed Hindi-English data with high accuracy.
## TODO
1. Use [talos](https://github.com/autonomio/talos) to get better hyperparameter values.
1. Try the model on a different code-mixed dataset.