Sentiment Analysis and Text Classification NLP task with Fasttext and Neural Network
- Project Aim
- Dataset
- Libraries
- Models Selection
This project is the tweet classification task to distinguish 3 categories of tweets:
- racist
- sexist
- neither
The dataset was a set of over 11K tweets
- numpy
- pandas
- nltk
- re
- plotly
- matplotlib
- sklearn
- json
- tqdm
- string
- pprint
- keras
- tensorflow
There two main architectures used in the project
- FastText Word Embeddings with SVM
- Deep Learning Model with FastText Word Embeddings