Category: NLP

Deep Learning – Word Embeddings with Word2Vec

In this part of the Deep Learning series, we will explain how the Word2Vec model works and creates the word embeddings for a corpus. We will then use the popular Python library called Gensim for a practical demonstration.

Here is the link to the article on Deep Learning that explains and demonstrates Word2Vec:

Deep Learning – Word Embeddings with Word2Vec

Enjoy 🙂 !!!

Document Similarity using NLTK and Scikit-Learn

Document Similarity is the Natural Language Processing (NLP) process of determining if two documents belong to a similar category or topic.

In this article, we will get our hands dirty by performing Document Similarity using NLTK and Scikit-Learn on a simple data set.

Here is the link to the article on Document Similarity:

Document Similarity using NLTK and Scikit-Learn

Enjoy 🙂 !!!

Textual Sentiment Analysis using NLTK and Scikit-Learn

Sentiment Analysis is the Natural Language Processing (NLP) process to determine if a customer opinion is positive or negative.

In this article, we will get our hands dirty by performing Sentiment Analysis using NLTK and Scikit-Learn on the Kaggle Restaurant Reviews data set.

Here is the link to the article on Sentiment Analysis:

Textual Sentiment Analysis using NLTK and Scikit-Learn

Enjoy 🙂 !!!