Latest Resources in NLP

NLP

Text Analysis in Python to Test a Hypothesis dataquest.io

Published June 3, 2019 under Machine Learning

People often complain about important subjects being covered too little in the news. One such subject is climate change. The scientific consensus is that this is an important problem, and it stands to reason that the more people are aware of it, the better our chances may be of solving it. But how can we assess how widely covered climate change is by various media outlets? We can use Python to do some text analysis!

Python for NLP: Introduction to the Pattern Library stackabuse.com

Published May 3, 2019 under Data Science

The Pattern library is a multipurpose library capable of handling the following tasks:

Natural Language Processing: Performing tasks such as tokenization, stemming, POS tagging, sentiment analysis, etc.
Data Mining: It contains APIs to mine data from sites like Twitter, Facebook, Wikipedia, etc.
Machine Learning: Contains machine learning models such as SVM, KNN, and perceptron, which can be used for classification, regression, and clustering tasks.

In this article, we will see the first two applications of the Pattern library from the above list. We will explore the use of the Pattern Library for NLP by performing tasks such as tokenization, stemming and sentiment analysis. We will also see how the Pattern library can be used for web mining.

End-To-End Topic Modeling in Python towardsdatascience.com

Published April 26, 2019 under Data Science

Topic Model: In a nutshell, it is a type of statistical model used for tagging abstract “topics” that occur in a collection of documents that best represents the information in them.

Many techniques are used to obtain topic models. This post aims to demonstrate the implementation of LDA: a widely used topic modeling technique.

Text Classification in Python Using spaCy dataquest.io

Published April 19, 2019 under Machine Learning

Python for NLP: Introduction to the TextBlob Library

Published April 18, 2019 under Data Science

In this article, we will explore TextBlob, which is another extremely powerful NLP library for Python. TextBlob is built upon NLTK and provides an easy to use interface to the NLTK library. We will see how TextBlob can be used to perform a variety of NLP tasks ranging from parts-of-speech tagging to sentiment analysis, and language translation to text classification.