The course "Natural Language Processing Applications" in the Artificial Intelligence program at the National Polytechnic Institute (IPN).

Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy

Assessing the impact of different pre-processing techniques for classifying the sentiment of movie reviews

Project building ML & DL models to detect spam messages.

🍊 📄 Text Mining add-on for Orange3

The ROS package of DBow3

Deep learning for natural language processing

Natural Language Processing

A Bag of Visual Words reproduction of the ICCV of 2005 in MATLAB as a part of my thesis research

In the present-day technology huge amount of data is being generated every day. So, it’s turning out to be a challenging task to handle text-based data. In the world of text-based sentences it is not that simple to differentiate between fact and opinions. So, This project is to build the model that classifies/identifies facts from/and opinions i…

Implementations in Python for COMP425: Computer Vision. This repository covers edge and corner detection, image segmentation and clustering, ...

This repo contains some simple code of implementing Bag of Words, Binary Bag of Words and TF_IDF

Analyzing restaurants reviews with BOW method with RandomForest & Naive Bayes algorithms

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

BoW model in image classification

A content based movie recommender that recommend movies based on tags

A fast, robust Python library to check for offensive language in strings.

This repository provides code for the paper "Brain tumour classification using BoF-SURF with filter-based feature selection methods." It includes dataset instructions, feature extraction, selection, and model training.