Install Dependencies for the notebook using the command

pip install -r requirements_main.txt
python -m spacy download en

Further run the following Commands in a .py file to download the packages:

nltk.download('stopwords')
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('wordnet')
nltk.download('universal_tagset')

Dependencies: Stanford CoreNLP : https://stanfordnlp.github.io/CoreNLP/download.html Prerequisites involve:

• java 8,
• Zip tool,
• wget

1. Run the command:

wget http://nlp.stanford.edu/software/stanford-corenlp-latest.zip
unzip stanford-corenlp-latest.zip

Now in the same directory where your notebook is, stanford-corenlp-4.2.2 and stanford-corenlp-4.2.2-models-english.jar should be there Navigate to inside the stanford-corenlp-4.2.2 directory

java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer

Note: The adjective phrases for each business has already been extracted using the CoreNLPParser and is stored in data/adjective_phrases/business_adjective_phrases.txt