More articles in Project

Part 10: Step by Step Guide to Master NLP – Named Entity Recognition

In this article, we will deep dive into the entity extraction technique - Named Entity Recognition, which is very useful the pipeline of NLP

Part 9: Step by Step Guide to Master NLP – Semantic Analysis

We will discuss on Semantic analysis, which is a level of the NLP tasks, and see all the important terminologies or concepts in this analysis

Tune Hyperparameters with GridSearchCV

Learn about GridSearchCV which uses the Grid Search technique for finding the optimal hyperparameters to increase the model performance.

TS-SS similarity for Answer Retrieval from Document in Python

TS-SS similarity is a Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering in NLP

Resume Screening with Natural Language Processing in Python

Performance Comparison of Tuned and Untuned Classification Models

We will compare the Tuned and Untuned Models under each algorithm applied based the performance scores of all Tuned Models

Text Detection From Images Using EasyOCR: Hands-on guide

EasyOCR is actually a python package that holds PyTorch as a backend handler. Let's learn about extracting text from images using EasyOCR.

Why and how to use BERT for NLP Text Classification?

BERT is a multi-layered encoder. In this blog learn about BERT transformers and its applications and text classification using BERT.

Natural Language Processing – Sentiment Analysis using LSTM

This article aims to explain the concepts of NLP and how to build a model using LSTM a deep learning algorithm for performing sentiment analysis

Learn to Develop Simple Chatbots using Python and Deep Learning!

In this article, we are going to learn to Develop a Simple Chatbot using Python and Deep Learning so as to automate customer redresal