GitHub topics: count-vectorizer | Ecosyste.ms: Repos

RAHEEM12344/content-recommendation-engine

A modern, responsive web application that delivers personalized content recommendations based on user preferences and behavior. This interactive recommendation system allows users to discover content tailored to their interests through category selection, tag filtering, and customizable content parameters.

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shyamsundar-r/Spam-Email-Detection-Naive-Bayes

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either Spam or Ham (Not Spam).

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prince7711sharma/Movie-Recommender

Movie Recommendation System This repository contains a Python-based Movie Recommendation System that leverages Machine Learning and Vectorization methods such as TF-IDF to recommend movies based on content similarity. The system processes datasets containing movie information like titles, genres, and descriptions to generate accurate and efficient

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FaisalAhmed21/Movie-Recommendation-System

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VedikaSawant/DupDetect

Machine learning project to identify semantically duplicate questions

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tan-hongkai/ViewWise

ViewWise is a recommendation system project that suggests TV shows based on cosine similarity between their metadata. By analyzing aggregated textual data of TV shows, the system provides users with personalized recommendations from a curated list of popular shows.

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MelRojas/Spam-Filter

Size: 144 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

NawalKishor123/Twitter-Sentiment-Analysis

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

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Apfirebolt/spam_email_classifier

An Email classifier using CountVectorizer and Naive Bayes strategy. PyQt5 is used for GUI

Language: Python - Size: 3.39 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gaaniruddha/FIT5196-A1

This repository contains assignments #1 that was completed as a part of "FIT5196 Data Wrangling", taught at Monash Uni in S2 2020.

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dejah22/Multi-Label-Emotion-Classification-in-Urdu

Machine Learning Models to decode compound emotions in a Urdu-based text

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jeffreywijaya100/youtube-comment-textmining

scrapping data komentar youtube yang berkaitan dengan machine learning dalam bahasa Indonesia sebanyak minimal 100 komentar

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jeffreywijaya100/ecommerce-product-textmining

Pemodelan klasifikasi menggunakan data product dari sebuah ecommerce dengan ketentuan yang diberikan

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justmirr/hate-speech-detection

Built using Python, Streamlit, and NLTK, the Hate Speech Detection App employs a Decision Tree Classifier for identifying hate speech in text. It features real-time speech input, NLP preprocessing, and a user-friendly Streamlit interface, offering both visual and text-to-speech result presentation.

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prneidhardt/Natural-Language-Processing

Twitter US Airline Sentiment

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SannketNikam/Emotion-Detection-in-Text

This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it. This app has more than 600 visitors!

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shaadclt/Fake-News-Detection-DecisionTreeClassifier

This project involves detecting fake news using a decision tree classifier in Jupyter Notebook. Fake news detection is an important task in the field of natural language processing and machine learning, as it helps identify and filter out misleading or false information.

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ksdkamesh99/Spam-Classifier

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

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Davityak03/NLP-Bag-of-Words-and-TF-IDF

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abinashsahoo007/Project-Resume-Classification

The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.

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justinapnguyen/Hotel_Reviews_Analysis_Using_NLP

In this project, we aim to analyze hotel reviews to determine the underlying sentiment expressed by customers. Our goal is to differentiate between positive and negative reviews using Natural Language Processing (NLP) techniques and machine learning algorithms.

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astonglen/Fake-News-Detection-Project

The scope of this project is to classify fake and true news. After performing an analysis on the dataset using two different vectorizers and two machine learning algorithms, the results are conveyed in the form of accuracy score and confusion matrices.

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jeyadosstimothy/ML-on-CrisisLex

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

Language: Python - Size: 4.41 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

LoyumM/Movie-recommendation

Recommend similar movies

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gurujayanth48/Fake-News-Analysis-using-NLP

To put a halt to the distribution of incorrect information from any online news outlet. Build an NLP Classifier that can identify news as Real or Fake.

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dorianDraper/KNN-Movie-recommender

Building a KNN model. The dataset for this project collects part of the knowledge from the API TMDB, which contains only 5000 movies out of the total number. Model the data using a KNN, analyze the results and optimize the model.

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dorianDraper/Naive-Bayes-project

Analyze Google Play store dataset and model the data using Naive Bayes to create a review classifier.

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Bidur-Khanal/Text-Classification

Basic Text Classification Codes

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eiliaJafari/Movie-Review-Classification-TF_IDF-SVC

Movie Review Classification with TF-IDF Vectorize & SVC given a set of text movie reviews that have been labeled negative or positive

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annareddy1/Aegean-Employment-Scams-Detection-App

AI-powered classifier mobile app using NLP to spot fake job ads and protect users from online scams. Our system analyzes language patterns and leverages algorithms to create a safe and trustworthy job search experience.

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Sarthak-Mohapatra/US-Airlines-Tweets-Sentiment-Analysis

Classifying a tweet as positive, neutral, or negative sentiment using Natural Language Processing (CBOW approaches) and Traditional Machine Learning Algorithms.

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ritika-0111/Movie-Recommendation-on-IMDB-Dataset

Movie Recommendation - provides user with the top choices of movie he/she wanted to watch based on their current choice

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saikrishnabudi/Text-Mining

Data Science - Text Mining Work

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Kamal2511/Movie-Recommender-System

Built a movie recommender system with Streamlit and deploy in Heroku Platform.

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animshamura/Sentiment-Analysis

Sentiment analysis of movie reviews based on NLP and Machine Learning!

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Abhrojyoti2001/Bibliophile

A content-based books recommender system using cosine similarity on goodbooks-10k_books datasets

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Abhrojyoti2001/Movies-Recommender-System

A content-based movie recommender system using cosine similarity on TMDB datasets

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Abhrojyoti2001/Email-Spam-Classifier

A spam email chacking system using the Complement-Naive-Bayes algorithm on SpamAssassin datasets

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samimakhan/Spam-Classification-Project

Spam Classifier project for my end-of-semester project for Intro to AI class. We were a group of four people. I worked on all the Naive Bayes models.

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Anshul21107/Movie-Recommender-System

The movie recommendation system is implemented using content based filtering

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arunabellgutteramesh/VideoMemorabilityPredictionUsingML

Some videos have more impact than the others resulting in higher memorability scores for such videos. Using various ML algorithms, such memorability scores are predicted.

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shubhamchouksey/NLP_Recipes

Natural Language Processing Recipes

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shreyans29/thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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enatgvhh/ml_text

Text-Mining: Klassifikation von Metadaten-Dokumenten zu INSPIRE-Themen

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Raghuls-github/Movie-Genre-Classification

Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.

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sharmaroshan/Twitter-Sentiment-Analysis

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

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badhonparvej481/Spam-eMail-Detection_NB_ML

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badhonparvej481/Count_TF_IDF-Vectorizer_ML

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agushendra7/twitter-sentiment-analysis-using-inset-and-random-forest

Twitter Sentiment Analysis Using InSet (Indonesia Sentiment Lexicon) and Random Forest Classifier

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agushendra7/twitter-sentiment-analysis-using-vader-and-random-forest

Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier

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Alli3d/naivebayes-for-spam-detection 📦

Spam detection model using naive bayes algorithm

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Bharati2301/Job-Resume-Filtering

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vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

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spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

Language: Jupyter Notebook - Size: 10 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

samyakj2307/recruitai_resume_backend

Language: Python - Size: 22.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

astrodestroyergithub/Fake-News-Detection-System

This work proposes a new approach for detecting fake news in datasets using some of the most widely used algorithms of machine learning.

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forum-bhatt/Content-based-Movie-Recommendation

Content-based recommendation engine using Python and Scikitlearn, using concepts of Cosine distance and Euclidean distance. Finally, by using IMDB 5000 movie dataset built a content-based recommendation engine using CountVectorize and Cosine similarity scores between movies.

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LorenzoRottigni/ML-sentiment-analysis

Machine Learning course of Piero Savastano 4: CountVectorizer, BernoulliNB, accuracy_score, pandas

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esharma3/myers-briggs-personality-prediction

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

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MahalavanyaSriram/Natural-Language-Processing-with-Disaster-Tweets

Kaggle Competition - Natural Language Processing with Disaster Tweets

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shanuhalli/Project-Resume-Classification

The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

shanuhalli/Assignment-Text-Mining

Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.

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AchintaMitra23/Movie-Recommendation-System-Using-Sentiment-Analysis

System is going to filter out the best possible movies basis on some criteria in recommendation area even after analyzing and previewing the reviews of the particular movie using sentiment analysis theory.

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rochitasundar/TwitterSentimentAnalysis-BigDataProject

Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard

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helemanc/drugs-reviews-sentiment-analysis

Text Mining project about Sentiment Analysis of Drugs Reviews.

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Balajirvp/Sentiment-Analysis-of-Movie-Reviews

Performed Sentiment Analysis of Movie reviews using Bag of Words and TF-IDF Vectorizers.

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Arupsau/Fake-News-Detection-Using-NLTK

Language: Python - Size: 63.6 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

schatzederwelt/toxic_comments_detection

Автоматическое выявление токсичных комментариев

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SandeepUrankar/LetMeTellYouAStory

Short Stories Recommendations.

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vijaymahajan2312/Sentiment-Analysis-of-Restaurant-Reviews

In this repo I have develop a Sentiment Analysis of Restaurant Reviews project in machine learning using NLP. In this dataset, there are reviews from the customers which are either positive or negative. And now we are going to build a machine learning model using Count Vectorizer method. And finally, this model is going to predict whether the given review is either positive or negative.

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Shaheer-khan-github/Fake-News-Classifier-using-Vectorizers

Detecting the Fake News using Count Vectorizer and Tfidf Vectorizer

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abhijit57/Intent-Classification-and-Sequence-Labelling

Intent classification is the automatic categorization of text data based on customer goals. It is known to be a complex problem in NLP. Sequence Labelling aims to classify each token (word) in a class space C. This project addresses these two problem statements by covering the basic concepts of NLP to advanced ones. For instance, linguistics analysis of a certain corpus, static word embeddings, contextual word embeddings. machine learning, deep learning, transformers and BIO tagging. This project was developed as part of the major project in our NLP coursework for the Data Science Master's degree. All of the work starting from problem statement formulation to project proposal, data collection, preparation. analysis, modelling, feature engineering, presentation, research paper creation were done by two members in the group: myself and Abhisek Panigrahi (https://github.com/Abhisekgit1994).

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MrRaghav/media-memorability

MediaEval challenge 2019 - to predict the memorability of the Videos

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DataRohit/IMDB-Reviews-Sentiment-Analysis

This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.

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sean-atkinson/nlp_naive_bayes

A look at whether Facebook statuses are predictive of whether or not a person is agreeable.

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roshansridhar/Multimodal-Sentiment-Analysis

Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

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DanielCalvoC/Web_scrapping_lyrics

Download an HTML page with links to songs and extract the song lyrics. Vectorize the text using the Bag Of Words method

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Harsh251299/Sentimental-Analysis

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

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Ankit152/StackOverflow-Tag-Prediction

A machine learning model that predicts tags for a given question and body.

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geekpirate/FB-Covid-Long-Hauler

This repo contains code on study of a covid long-hauler group

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0xamitdutta/OntoNext-Recommendation-API

Content based movie recommendation API using Scikit Learn and Flask

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bhattbhavesh91/tf-idf-example

A simple Sklearn based example to demonstrate the working of TF-IDF.

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kvarun07/ecom-product-classifier

Text Classification: Predicting product categories from their text descriptions.

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Seghelicious/Job-Recommendation-Engine---NLP-Content-based-Recommenders

Content-based Recommender System with Natural Language Processing using TF-IDF Vectorizer, Count Vectorizer and KNN.

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ShreyaDhananjay/FakeNewsNLP

Fake news detection

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Nourshosharah/introduction-to-natural-language-processing-in-python

my exercises of course natural language processing datacamp

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DevanshJain07/Offensive-Language-Identification-in-Dravidian-Languages-EACL-2021

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DevanshJain07/Hope-Speech-Detection-for-Equality-Diversity-and-Inclusion-EACL-2021 Fork of igauravantil/ml-project

Hope Speech Detection for Equality, Diversity, and Inclusion-EACL 2021

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Myrto-Iglezou/Comment-Classifier

A machine learning system that takes a comment and classifies it as offensive or non-offensive (neutral). This system will be trained in a data set with comments in which the tags (insult or non-insult) are known. Classification algorithms used: Naive Bayes, SVM, Random Forest.

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