Classification of books based on titles without prior knowledge of context or author
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Dec 8, 2022 - Jupyter Notebook
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tfidf-matrix
Here are 18 public repositories matching this topic...
10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras
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Apr 12, 2023 - Jupyter Notebook
VIP Machine Learning Exercises and Practices
python pandas pca-analysis pca dimensionality-reduction bag-of-words matplotlib tsne tfidf tfidf-matrix machine-learning-exercises bagofwords text-preprocessing tfidf-vectorizer
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Dec 24, 2019 - Jupyter Notebook
Parses apart a PDF file into separate documents and then uses Natural Language Processing, Machine Learning models, and statistics to rank the documents by similarity to a single document.
nlp machine-learning natural-language-processing fuzzy-search fuzzy-matching nltk cosine-similarity jaccard-similarity tfidf pdfminer pdf-parser correlation-coefficient tfidf-matrix
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Aug 10, 2023 - Jupyter Notebook
This is a book analysis and recommendation system made in python and by using django framework, KNN, TF-IDF algorithm
python django sentiment-analysis analysis django-framework collaborative-filtering term-frequency tf-idf recommender-system knn subjectivity polarity content-based-recommendation tfidf-matrix knn-algorithm eda-process
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Apr 21, 2022 - JavaScript
This repository is for Fake News Detection using Deep Learning models
python crawler word2vec wordcloud naive-bayes-classifier classification confusion-matrix fake-news preprocessing frequency-analysis tfidf-matrix xgboost-algorithm lda2vec gru-model
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Feb 21, 2018 - HTML
( Scratch development ) Term Frequency Inverse Document Frequency is a vectorization technique used widely in Natural Language Processing. The vectorization effectively gives importance to rare words and important words.
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Apr 9, 2020 - Jupyter Notebook
Repository aimed at building a simple recommender system for a content based dataset. The textual information is analysed so as to utilised as a more concrete piece of information!
pandas python3 similarity recommender-system cosine-similarity dataframe content-based-recommendation tfidf-matrix cosine-similarity-scores tfidf-vectorizer
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Mar 5, 2021 - Python
Compute the TF-IDF matrix from a collection of documents to measure the importance of words for text analysis and information retrieval tasks.
nlp machine-learning information-retrieval machine-learning-algorithms tfidf tfidf-matrix tfidf-vectorizer tfidfvectorizer
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May 3, 2023 - Python
Implementation of Machine Learning Algorithms with Different Dataset
python learning machine-learning algorithms text-classification email machine emoji-unicode classification spam-filtering gmail-api clustering-algorithm binary-classification scikitlearn-machine-learning emotion-recognition knn-classification tfidf-matrix
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Jul 6, 2020 - Jupyter Notebook
Analyse sentiments from youTube (comments) with MLFlow!
sentiment-analysis wordcloud confusion-matrix nlp-machine-learning doc2vec-word2vec sentiment-classification classification-report tfidf-matrix cnn-classification spacy-nlp bag-of-ngrams nltk-python word2vec-embeddinngs tfidf-vectorizer classification-algorithms text-embeddings nltk-tokenizer wordcloud-visualization bert-base-uncased
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Jul 10, 2025 - Jupyter Notebook
Recommender system from Yelp dataset
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Mar 21, 2021 - HTML
Terminal commands recomendation engine with natural language queries.
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Jul 1, 2024 - Python
A model that predicts the sentiment for a given Amazon review. This is a Naive Bayes model that utilizes NLP for pre-processing.
python sentiment-analysis amazon numpy scikit-learn jupyter-notebook pandas python3 seaborn wordcloud tf-idf vectorization stopwords nlp-machine-learning natural-language-understanding tfidf-matrix amazon-reviews
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Jun 21, 2019 - Jupyter Notebook
Some NLP projects/assignments I've done in the past(Including beam search and tf-idf matrix from scratch)
numpy word2vec sklearn pandas beam-search bert psycholinguistics sentiment-classification tfidf-matrix historical-linguistics nli-dataset
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May 1, 2022 - Jupyter Notebook
ML & deep learning approaches for gender classification from blog text (TF-IDF, POS features, BERT+CNN)
nlp machine-learning scikit-learn bert tfidf-matrix textclassification tfidf-text-analysis tfidf-vectorizer
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Jul 28, 2026 - Jupyter Notebook
Movie recommender using movie reviews data from imdb
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Jan 9, 2023 - Jupyter Notebook
This project uses machine learning to create a personalized bookrecommendation system. By combining collaborative filtering and content-based filtering, it analyzes user preferences and book attributes to suggest tailored book recommendations. The system offers real-time updates and accurate predictions to enhance the user experience.
machine-learning tfidf-matrix cosine-similarity-scores tfidf-vectorizer linearkernel bookrecommendsystem
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Sep 17, 2026 - Jupyter Notebook
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