dilettagoglia / BiBiNET

💬A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.

BiBiNET: BiLSTM for bipolarity sentiment analysis.

A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.

Description

This project was developed for the ”Human Language Technologies” course of Professor Giuseppe Attardi.

Directory structure (main elements)

BiBiNET
  │── src
  │    │── data_import.py                   # process 1/6
  │    │── data_prep.py                     # process 2/6                     
  │    │── preproc.py                       # process 3/6
  │    │── transform.py                     # process 4/6
  │    │── classifiers.py                   # process 5/6
  │    │── test.py                          # process 6/6
  │    │── utilities.py
  │    └── main.py                          # file to run
  └── data
  │    └── forum_data
  │    │   │── all_files.csv                # text
  │    │   └── annotations_metadata.csv     # labels
  │    └── twitter_1
  │    │   └── twitter_dataset.csv       
  │    └── twitter_2
  │    │    │── train.csv                
  │    │    └── test.csv     
  │    └── wikipedia_data
  │         │── train.csv                
  │         └── test.csv    
  └── glove
  │   │── glove.twitter.27B.100d      
  │   └── glove.twitter.27B.200d        
  └── model          
  │   └── model.h5                          # final model   
  └── requirements.txt
  └── report.pdf                            # project guide
  └── README.md
  └── LICENSE  

Quick start

Install Python:
sudo apt install python3

Install pip:
sudo apt install --upgrade python3-pip

Install requirements:
python -m pip install --requirement requirements.txt

Execute main

cd src/
python main.py

Corresponding author

Dr. Diletta Goglia
Postgraduate Student in MSc in Artificial Intelligence
Computer Science department, University of Pisa, Italy
[e-mail]
dilettagoglia.netlify.app