NLP Project: Automated Question Answering from FAQs Using Word-Embeddings

In this session we will build a question answering system to automatically answer questions by the end user through looking up the FAQs and retrieving the closest question and answer as appropriate. In this NLP python task, you will learn basic text processing and ways to compute sentence similarity. We will start with simple representations of a sentence like the bag of words and move on to more sophisticated text embeddings such as word2vec and glove. If time permits, we might also examine more state of the art embedding techniques in NLP for this task. If you're interested in receiving the access to stepwise analysis done in this video, please share your email address in this google form https://docs.google.com/forms/d/e/1FAIpQLSftPocVKOMqioOK66wl0Zo7kyA_jCXmiQWZ-rLtliGYxcvNKQ/viewform and we will send it to you within 48 hours.

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