GitHub topics: bagofwords
Rishabh899/Movie-recommendations-system
This is Machine learning based movie recommendation system. Its content based system.
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KrishArul26/Text-Classification-DBpedia-ontology-classes-Using-LSTM
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 be organized by sentiment, and so on.
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Recker-Dev/Exploring-NLP
This Repo, explores various processes for sentiment analysis using Amazon Customer Review dataset.
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Mariam-Zaidi/Movie_Recommender_System_Project
Website that helps recommend movies
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alokamgnaneswarasai/Word2Vec-skipgram
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.
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SmridhVarma/Fake-News-Detection
This repository houses a Streamlit web application for fake news detection. The app allows users to input a news article and predicts whether it is likely fake or real based on its content. It provides options to select different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.
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zeeshanmulla/NLP-Natural-Language-Processing
Tokenization, Stemming, Lemmatization, Bag of words, TF-IDF
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LuluW8071/Content-Filtering
Movie Recommendation using Content Filtering (Cosine Similarity) with Flask web application
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AF011/NLP_Projects
Text Encoding and Classification using different types of Encoders
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aakashjhawar/twitter-sentiment-analysis
Sentiment analysis of tweets to detect negative tweets.
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randleon/Sentiment-Analysis---A-Machine-Learning-Approach-into-Hideo-Kojima-s-Divisive-Platformer
Our team sought to perform sentiment analysis on Twitter tweets in anticipation for Hideo Kojima's video game release, Death Stranding, in 2019. We sourced the Tweets from two libraries, preprocessed them, stored them using MongoDB and then performed sentiment analysis.
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Neill-Erasmus/restaurant-reviews
Using a bag of words model to evaluate restaurant reviews.
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anillava1999/Stock-Sentimental-Analysis-Classifier
Stock Sentimental analysis Classifier using News Headlines
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raghavendranhp/SpamGuard-Intelligent-SMS-Filtering-System-
SpamGuard is an intelligent SMS filtering system designed to detect and filter spam messages using machine learning techniques.
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Dhrumil-Zion/Predicting-Stock-Market-Using-Headlines
Predict whether a stock price will increase based on headlines on a specific day. Data is Wrangled and Merged for modeling. The bag of words approach is used to vectorize textual data. A combination of NLP and ML models like RanfomForestClassifier is used to predict final results, plus the Naive Bayes approach with NLP to predict the results.
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mishika12/NLP-Classification_of_Tweets_into_Troll_Comments
Analyzing tweets from Twitter and classifying them into trolls using Natural Language Processing
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Thenx0009/Spam_Classifier_Project
A spam classifier is a software or machine learning model that categorizes incoming messages or content as either "spam" (unwanted or irrelevant) or "ham" (legitimate or relevant), using automated techniques.
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storieswithsiva/Text-Mining-in-R
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
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VipinJain1/VIP-Machine-Learning-Exercises-and-Practices
VIP Machine Learning Exercises and Practices
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anishsavla2/Word-Embeddings
Config files for my GitHub profile.
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pranshu1921/Amazon-Fashion-Discovery-Engine
Recommend similar apparel searched by user on Amazon.
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pranshu1921/Amazon-Fine-Food-Reviews
Using NLP to determine user review polarity on Amazon.
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HealthyData-Hub/Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-1
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
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SpydazWebAI-NLP/BasicLanguageModelling2023
Basic Language Models , Bag of Words, Ngram Models Etc
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iambankaratharva/Tag-Prediction-on-Stack-Overflow-Posts
Using NLP or prediction of stack overflow posts using linear models for multi-class classification
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sankalpjain99/Movie-recommendation-system
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.
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afsanamimii/Movie-review-analysis
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anoopjeerige/kaggle-spooky-author-identification
Notebooks to tackle the Kaggle Spooky Author competition. The challenge is to accurately identify the author from their sentences.
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DanielJohnBenton/Ngrams.java
:cake: A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.
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mohansaidinesh/oibsip_task4_
Oasis Infobyte Internship Data Science task-4
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sachelsout/bagOfWords-Tfidf-vectorizers
This repository has the implementation of traditional NLP techniques like Bag Of Words (BoW) and TF-IDF from scratch and then comparing the results with the scikit learn's respective libraries/modules vectorizers.
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JoyeBright/NLP981
Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.
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chpatola/election_nlp
Analyse of election machine texts from the Finnish parliament elections 2015
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kkneha/Travel-Bot
A chatbot which can recommend itineraries, flights and hotels
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rupeshsure/DNA-Sequence-Classification-Project
DNA CLASSIFICATION
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jrodr066/SentimentAnalysis
Bag of Words on Text to Detect Stress
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StavC/MMN12ComputerVisionUniversity
Computer Vision multilabel classification with different techniques: (KNN,PCA,LDA,BOVW,SIFT,VGG16)
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EduRibeiro00/ArtworkRecognition-feup-vcom
Code and projects developed in the VCOM subject throughout the semester (MIEIC 4th year, 2nd semester).
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Noshitha/Chatbot_bow
A chatbot is a conversational assistant that assists you with information via chat. This chatbot gives a response in both speech and text.
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iankonradjohnson/StockMarketTwitterSentiment
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.
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karunagujar13/NLP-FakeNewsDetection
Distinguish fake news from real news using Bag of Words, TF-IDF and Word2Vec with Naive Bayes and Logistic Regression classifiers. Also used the feature enrichment concept of Machine Learning to analyze how the output changes.
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javekk/Sentiment-Analysis
Project it is implement a model for a simple sentiment analysis, using Spark, HDFS and Scala/Java
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anjanatiha/Clustering-for-Document-Classification
Clustering news documents using bag of words model to classify documents
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joelvinaykumar/plagiarism-using-java
This repo has bag of words, string match & fingerprinting algorithms written in Java language.
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anjanatiha/Toxic-Comment-Classification
Classify comments on categories - "Toxic", "Severe Toxic", "Obscene", "Threat", "Insult", "Identity Hate", "Any of the Above", "None of the Above".
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DanielJohnBenton/ngrams.js
:cake: A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.
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