A Naive Bayes classifier was used to predict the probability of salary being above certain threshold according to certain job descriptions

Natural language processing for Tamazight language

Termania.net Lookup Firefox Extension

Basics of NLP

In this project I used different text preprocessing techniques to preprocess my text data. The I used different classification algorithm to get the best results as it was a classification problem. I used Kaggles free GPUs and Datasets in this competion.

Classify, find categories for, and automatically process complaint emails

Test NLP project to detect fake news headlines

Эта работа - проект для сессии старшего курса.Но в ней сосредоточены основные требования работадателей

Topic Mdeling

ROBY Chatbot: A versatile Python chatbot employing natural language processing and mathematical expression evaluation, crafted with Tkinter for a dynamic user interaction.

Tokenization, Stemming, Lemmatization, Bag of words, TF-IDF

This is the basics of Natural Language Processing with NLTK python library. I have used Bag of words and TF IDF techniques for word vectorization for the machine learning model to train the model on. Before applying techniques I have used Stemming and Lemmatization on text data to transform text data into meaningful important words. Of course Le…

Course offered by Udemy . Created and taught by Ankit Mistry, Vijay Gadhave, Data Science & Machine Learning Academy.

I have started getting quite interesting in the concept of Natural Language Processing and tried to implement and understand this concept from a blog i read from towardsdatascience.com

NLP solutions for some linguistics problems.

This project predicts MBTI personality types from users' recent 50 posts using NLP and ML techniques.

Udacity NLP foundation nanodegree learning

UNCC Fintech Bootcamp Natural Language Processing Homework. The purpose of this assignment was to gain deeper knowledge of how to apply Natural Language Processing (NLP) in real world situations. Tools/Methods Used: Sentiment Analysis, Natural Language Processing, Named Entity Recognition, Lemmatization, Tokenization and Stopwords, spaCy, Readin…

Train a model and tag old french texts via a notebook using RNNTagger & Pie

Predicting sentiment polarity of COVID-19 news articles using Machine Learning and Deep Learning models