Description:

• We, at Goibibo, extensively use Python as part of our app as well as data processing stack.
  • We receive a good volume of user generated content, and use natural language processing and machine learning to derive insights and data from them for our products.

• The talk would cover how we build our user review analyzer system which extracts keytopics/keywords from 20 million user reviews and user sentiments about that keytopic. For example : How we detect that "the rooms were very spacious" is a positive experience for a consumer, or that a particular hotel has an amazing candle light dinner.

• The talk would cover language processing in Python using inbuilt/installed python modules, and dedicated NLP libraries like NLTK and spaCy, and sentiment analysis/categorization done by Scikit-learn.

This feature can be viewed and experienced on Goibibo mobile apps ( Android/ iOS) and visiting a hotel's product page.

Prerequisites:

• Intermediate level knowledge of Python is beneficial, however the concepts are language agnostic .
  • Knowledge of NLTK , spaCy and scikit-learn is a plus.

Content URLs:

Talk presentation link : https://prezi.com/p/coenajjzcuis/

Speaker Info:

I am Dhruv Pathak, a python enthusiast. I currently work at Goibibo as VP of Engineering, where we ship many evolving and high scale products using Python.

Speaker Links:

• https://stackoverflow.com/users/533399/dhruvpathak
• https://www.linkedin.com/in/dhruvpathak
• https://github.com/dhruvpathak