[Pycon] [new paper] "Saloni Garg" - Developing Natural Language Processing Applications using Python

[info a pycon.it]

Title: Developing Natural Language Processing Applications using Python
Duration: 45 (includes Q&A)
Q&A Session: 15
Language: en
Type: Talk

Abstract:  -  At first, I will explain what exactly Natural Language Processing is.
 -  Then, I will go about explaining the important algorithms and famous buzzwords of NLP. Starting with Text Preprocessing algorithms for Noise Removal and Lexicon Normalization, like Lemmatization, Stemming (using Porter Stemmer algorithm).
 -  Next comes Parsing: Syntactical Parsing and Entity Parsing. In this section. I will talk a bit about Part of Speech Tagging for Syntactical Parsing, and then some basic discussion about Topic Modelling and N-Grams.
 -  Next, I'll talk about some important Page ranking algorithms used by search engines such as TF – IDF.
 -  After this, I will introduce the audience to popular Python libraries used in this field, such as  NLTK, TextBlob, GenSim, spaCy.
 -  Lastly, I will introduce my own project and will let the audience have an experience of learning how to create such an application by themselves.
 -  Finally, I'd love to answer if the audience has any questions. **_[Q & A Session]_**

Tags: [u'nltk', u'gensim', u'information-retrieval', u'Python', u'data-mining', u'text-analysis', u'python3', u'libraries', u'flask', u'lexicon-normalization', u'natural-language-processing', u'tweepy', u'data-science', u'python2', u'page-ranking', u'textblob']