Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.
-
Updated
Mar 31, 2023 - Python
Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
🍰 A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.
VIP Machine Learning Exercises and Practices
A chatbot which can recommend itineraries, flights and hotels
Oasis Infobyte Internship Data Science task-4
Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can …
Analyse of election machine texts from the Finnish parliament elections 2015
Notebooks to tackle the Kaggle Spooky Author competition. The challenge is to accurately identify the author from their sentences.
Classify comments on categories - "Toxic", "Severe Toxic", "Obscene", "Threat", "Insult", "Identity Hate", "Any of the Above", "None of the Above".
Movie Recommendation using Content Filtering (Cosine Similarity) with Flask web application
Different takes at creating a content based movie recommendation system using MovieLens dataset. One approach focuses on finding the correlation between different attributes to recommend movie. Another approach make use of the bag of word model along with machine learning algorithms.
Code and projects developed in the VCOM subject throughout the semester (MIEIC 4th year, 2nd semester).
Computer Vision multilabel classification with different techniques: (KNN,PCA,LDA,BOVW,SIFT,VGG16)
Performed Twitter Sentiment Analysis on 10 years of Twitter Data using bag of words approach, and predicted stock market trends using Time Series Neural Networks.
Stock Sentimental analysis Classifier using News Headlines
Basic Language Models , Bag of Words, Ngram Models Etc NLP modelling and associated tasks
This repository contains implementations of text classification using a Rule-Based Classifier and Bag of Words model, as well as word embeddings using the Skip-gram model of Word2Vec. It includes detailed preprocessing steps, model training, and relevant references.
Add a description, image, and links to the bagofwords topic page so that developers can more easily learn about it.
To associate your repository with the bagofwords topic, visit your repo's landing page and select "manage topics."