To help those people who are suffering due to cyberbullying and other issues so that such tweets can be removed from twitters.
This system identifies the hate speeches or tweets and can be used to remove such tweets which ultimately leads to
suicide, depression, other social problems.
I build it using specified labeled dataset from kaggle and applied machine learning prediction over it.
Challeges such as same words have different meanings in different situations as it was a fixed dataset with labeling and making it real-time.
I obtained a good accuracy on this dataset.
To implement this Distributed-Sentiment-Analysis-for-hate-speeches system on various dataset.
Built With
- logistic-regression
- numpy
- python
- python-package-index
- scikit-learn
- svm
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