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Projects in Awesome Lists tagged with countvectorizer
A curated list of projects in awesome lists tagged with countvectorizer .
https://github.com/kool-cool/kool-cool-movie-recommendations-flask
The provided code snippet performs movie recommendation based on movie metadata using the TMDB Movie Metadata dataset from Kaggle.
countvectorizer datapreprocessing flask machine-learning machine-learning-algorithms moviemetadata movierecommendation movies-recommendation natural-language-processing nlp python reccomendersystem reccommendation tfidfvectorization webapp
Last synced: 17 Nov 2024
https://github.com/geekquad/text-learning
Basic usage of NLTK. Implementation of concepts like Stemmer, TfIdf, and text.CountVectors
corpus countvectorizer nltk sklearn stopwords tfidf
Last synced: 10 Nov 2024
https://github.com/5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
countvectorizer dummyclassifier lgbmclassifier logisticregression matplotlib minmaxscaler nltk nltk-stopwords nltk-tokenizer numpy pandas seaborn spacy tfidfvectorizer torch tqdm transformers
Last synced: 18 Dec 2024
https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
This project explores sentiment analysis using neural networks
convolutional-neural-networks countvectorizer deep-learning keras matplotlib neural-network numpy python tensorflow tfidf-vectorizer
Last synced: 31 Oct 2024
https://github.com/parag000/content-based-movie-recommender
This project builds a content-based movie recommendation system using the TMDB dataset. By combining metadata features like cast, genres, and directors into a "metadata soup," it calculates movie similarity with vectorizers (Count) and cosine similarity. Ideal for learning content-based filtering and text vectorization techniques.
cosine-similarity countvectorizer recommendation-system scikit-learn tfidf-vectorizer vectorization
Last synced: 23 Nov 2024
https://github.com/somjit101/nlp-stackeroverflow-tag-prediction
A multi-class classification problem where the objective is to read a question posted on the popular reference website, StackOverflow and predict the primary topics it deals with, i.e. tags which the question will be associated with.
bag-of-words countvectorizer logistic-regression multi-class-classification multiclass-logistic-regression natural-language-processing nlp one-vs-rest onevsrestclassifier stackoverflow-tags stemming text-mining tf-idf tfidf-vectorizer word-cloud
Last synced: 16 Nov 2024
https://github.com/sayamalt/text-similarity-quantifier
Successfully developed a machine learning model for computing the similarity score between two text paragraphs taken as input from a webpage.
bag-of-words cosine-similarity cosine-similarity-scores countvectorizer flask machine-learning nlp pandas python text-preprocessing tfidf
Last synced: 07 Nov 2024
https://github.com/shifnyahmed/homeservicerecommendationsystem
This is a service provider hiring website which will also recommend service providers to the user
bootstrap bootstrap4 bootstrap5 countvectorizer css django e-commerce-project flask html html5 javascript jinja2 machine-learning python python-3 python3 recommendation-engine recommendation-system sqlite sqllite-database
Last synced: 19 Nov 2024
https://github.com/hayatiyrtgl/flm_reviews_analysis
Sentiment analysis using ML classifiers for text data.
countvectorizer machine-learning natural-language-processing natural-language-understanding nltk python python3 random-forest random-forest-classifier scikitlearn-machine-learning sentiment-analysis sentiment-classification sklearn sklearn-classify
Last synced: 22 Dec 2024
https://github.com/statute8234/redditsuggestor
Rating: (6/10) The project uses Python libraries and APIs to analyze Reddit data, predict user input, suggest new titles based on cosine similarity, calculate combined scores, and output the best suggestion.
countvectorizer difflib filedialog multinomialnb openpyxl pandas praw random scikit threading tkinter ttk
Last synced: 18 Nov 2024
https://github.com/sudarshanc00/movie-recommendation-system
This project is a content-based movie recommendation system built using Python and Streamlit. The system suggests movies similar to a user-selected movie by analyzing plot descriptions and using machine learning techniques like cosine similarity.
cosine-similarity countvectorizer nltk-python python recommender-system
Last synced: 16 Dec 2024
https://github.com/akashkg03/spam-email-classification
This notebook involves to build a spam email classifier using Naive bayes and feature extraction technique using countvectorizer
classification countvectorizer jupiter-notebook naive-bayes-classifier pandas python
Last synced: 10 Nov 2024
https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
Last synced: 15 Nov 2024
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 15 Nov 2024