ravithejaburugu / absa

Aspect Based Sentiment Analysis

ABSA

Aspect Based Sentiment Analysis

Retrieves aspects from the user reviews with sentiment score.

** Aspects: {Value, Food, Drinks, Staff, Service, Ambience, Location and Price}

Datasources Extraction:

Training Datasources: (Fetch data from) :

** Google places API - • https://maps.googleapis.com/maps/api/place/nearbysearch/json • https://maps.googleapis.com/maps/api/place/details/json ** Zomato API - • https://developers.zomato.com/api/v2.1/locations, • https://developers.zomato.com/api/v2.1/location_details, • https://developers.zomato.com/api/v2.1/reviews) ** Twitter • tweepy.OAuthHandler • tweepy.API • tweepy.Cursor ** CitySearch scraping • http://www.citysearch.com/listings/houston-tx-metro/restaurants.html

Test Data of: (Manually fetch and test)

** TripAdvisor • from Kaggle and directly using tools, for testing

Data Preparation:

• Data cleaning (emojis, date formats, text formats)
• XML formatting of Review and each aspect in it.

Steps for Training:

• Pretrained BERT
• Parse and pass XML for training.
• Vectorization using SpaCy.
• 4 fold Cross validation

Model Preparation:

• Aspects extraction
• MultinomialNaiveBayes
• Sentiment Score

Testing Accuracy:

• Confusion matrix
• Multiclass classification