Feb 2017
13 Mon
14 Tue
15 Wed
16 Thu 09:00 AM – 06:00 PM IST
17 Fri 09:00 AM – 06:00 PM IST
18 Sat
19 Sun
SS
Sourav Singh
@hildr
Create powerful NLP pipelines using SpaCy
Submitted Nov 18, 2016
Technical level:
Intermediate
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.
Outline
- Brief Introduction to NLP
- Importance of speed and accuracy in NLP.
- Information on SpaCy- Installation and Setup.
- Usage examples of SpaCy
- Comparison between SpaCy, NLTK and CoreNLP.
- Conclusion
- Q&A session
Speaker bio
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.
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}