Create powerful NLP pipelines using SpaCy
Processing of large data dumps and extracting useful information from them is a very difficult task. Companies wish to focus on solutions which are simple yet show accurate results.
SpaCy(spacy.io) is a Natural Language Processing library written in Cython that helps process massive amount of data and give insights on them. SpaCy also works with Gensim, keras and Tensorflow easily.
The talk will focus on SpaCy, What makes it special and show some comparisons between NLTK and Stanford’s CoreNLP.
The intended audience of the talk are Python programmers who wish to know about Natural Language Processing.
1) Brief Introduction to NLP
2) Importance of speed and accuracy in NLP.
3) Information on SpaCy- Installation and Setup.
4) Usage examples of SpaCy
5) Comparison between SpaCy, NLTK and CoreNLP.
7) Q&A session
I am a student in Computer Science who is interested in the field of Machine Learning, Bioinformatics, Neuroinformatics and linguistics.
I have been a part of Django Girls Pune since two years as a mentor.
I often listen to Western Classical Music, practice Taekwondo and learning to speak Russian fluently during my free time.