giacoballoccu / dla-sentimentanalysis

Sentiment analysis using different types of Bidirectional Recurrent Neural Networks on Amazon reviews dataset. The results are confronted with two baseline models which are an SVM and a RF model.

DLA-SentimentAnalysis

How to run using precomputed models

0. Open a terminal in the desiderate path and download the project folder using the command.

git clone https://github.com/giacoballoccu/DLA-SentimentAnalysis.git

1. With the same terminal enter the project folder and install the requirements using this commands.

cd DLA-SentimentAnalysis/
pip3 install -r requirements.txt

2. Wait the installing of all requirements
3. You are ready to evaluate the models, you can run the evalutation using the command:

python3 LoadAndEvaluate.py

How to run training the model by yourself

0. Open a terminal in the desiderate path and download the project folder using the command.

git clone https://github.com/giacoballoccu/DLA-SentimentAnalysis.git

1. With the same terminal enter the project folder and install the requirements using this commands.

cd DLA-SentimentAnalysis
pip3 install -r requirements.txt

2. Download and extract the dataset in the project folder DLA-SentimentAnalysis/dataset from here
3. You should now have a directory called archive in the dataset folder, pick the file "train.ft.txt.bz2" and move it one level down in the "DLA-SentimentAnalysisDataset" folder.
4. You are ready to train, for starting the training and evaluation paste the following command in the terminal you opened in the step 0 (It must be located in the "DLA-SentimentAnalysis" folder).

python3 Train.py