Sentiment and Intent Analysis with NLP and Deep Learning

Business Challenge

 

• Evaluating Text to Predict People’s emotions.

 

Solution Offered

 

We built a Real-Time Solution for the Client. In this analysis, we focused on Twitter trends and tweets. It involved -

 

• Web Scraping - We crawled Data from Twitter using Tweepy in Python.

• Natural Language Processing - NLP was used in cleaning Textual Data and Feature Extraction. The various steps used were -

• Sentence Tokenization

• Word Tokenization

• Regular Expressions

• Removing Stopwords

• Working on n-grams

• Algorithms and Models - Supervised learning algorithms are used in Text Mining. These algorithms are trained on huge volume of data for better feature extraction and better accuracy when predicting one’s attribute.