With the exponential growth of the Internet, inundating text is being generated through articles, blogs, comments, and tweets. For computing systems, text is merely a series of bytes with no meaning. This renders the text obsolete for any further processing.
Multiple methods have been applied to make computers infer word meanings, but none of them was accurate and practical as much as Word2Vec. Word2Vec opened a new horizon for industries that allowed them to apply various Natural Language Processing (NLP) tasks such as machine translation, sentiment analysis, word similarity, text summarization, chatbot ... etc.
In this talk, we are going to discuss the benefits of Word2Vec (and relatives), how it works, and how can we apply it on our text.
- Wael Farhan (www.linkedin.com/in/waelfarhan): Director of Machine Learning at Mawdoo3
Doors open 6:30PM, Talk starts 7PM.
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