Project ,

Movie Review Classification

Course
Curriculum

What will you Learn in the Project?

  • Text Preprocessing
  • Bag of Words Feature Extraction
  • N-grams technique
  • NER
  • Noise Removal
  • TF-IDF
  • Feature Extraction
  • Twitter Sentiment Analysis
  • Text Preprocessing 

Requirement

This course does NOT cover the theory part so it assumes that you know the theory of NLP.

 

Description

This course has 8 Demos and 2 Industry standard project with self-paced solution explainer

Demos:

  • Text Preprocessing
  • Bag of Words Feature Extraction
  • N-grams technique
  • NER
  • Noise Removal
  • TF-IDF
  • Feature Extraction
  • Twitter Sentiment Analysis
  • Text Preprocessing 

Projects:

  1. Movie Review Classification:
Your work is to study the data and create a sentiment classification model that can predict the number of positive and negative reviews based on sentiments by using different classification models. The analysis includes text preprocessing, classifying the reviews & evaluating the classifier.
 

2. Identify Topics from News Headlines

Your work is to study the data and use topic modeling techniques to find out the relevant topics in the headlines & compare different techniques. The analysis includes EDA, preprocessing & topic modelling with LSA and LDA techniques.
 

Who this course is for?

1. College Freshers
2. Anyone who wants to see what are the use cases where NLP applies and how to implement various concepts

Course Content

Expand All
Not Enrolled
or 99₹ 999
91% off

Skills you will develop

Share with Friends and earn points!!