A Python toolbox for gaining geometric insights into high-dimensional data
visualization python time-series data-visualization high-dimensional-data topic-modeling data-wrangling text-vectorization
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- Python
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text-vectorization
Here are 56 public repositories matching this topic...
Word Factor Vectors
r text-classification text word2vec word-embeddings rstats text-processing r-package text-vectorization word-vectors
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- R
📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
nlp text-classification text-similarity term-frequency tf-idf cosine-similarity bns text-vectorization short-text-semantic-similarity bns-vectorizer
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- Python
The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.
machine-learning neural-network tensorflow svm linear-regression sklearn machine-learning-algorithms regression feature-extraction classification logistic-regression tf-idf text-processing data-preprocessing data-cleaning multinomial-naive-bayes parameter-tuning knn-classification text-vectorization machinelearning-python
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- Jupyter Notebook
Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity
information-retrieval matrix-multiplication similarity-search text-vectorization root-cause-analysis tfidf-vectorizer similar-patterns lookalike-queries
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- Python
In this project, task involves analyzing the content of the articles to extract key concepts and themes that are discussed across the articles to identify major themes/topics across a collection of BBC news articles.
spacy nltk topic-modeling gensim bag-of-words tf-idf latent-dirichlet-allocation nlp-machine-learning latent-semantic-analysis text-vectorization text-preprocessing
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- Jupyter Notebook
This project is an unsupervised NLP-based recipe recommender system designed to provide personalized recipe suggestions. The system employs content-based filtering techniques, utilizing cosine similarity to measure the resemblance between user inputs and a database of recipes.
nlp word-embeddings nltk cosine-similarity lda text-vectorization gensim-word2vec tfidf-vectorizer gensim-topic-modeling
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- Jupyter Notebook
🚀 Course Recommendation System is a machine learning-powered web application designed to recommend similar courses from Coursera's vast dataset of over 3,000 courses. Built using Python, Scikit-learn, and Streamlit, the app preprocesses course data, applies text vectorization, and leverages cosine similarity to offer personalized recommendations.
python nlp docker data-science machine-learning recommendation-system cosine-similarity text-vectorization streamlit-webapp
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- Jupyter Notebook
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
text-mining naive-bayes neural-networks topic-modeling decision-trees twitter-sentiment-analysis support-vector-machines sentiment-classification multinomial-naive-bayes text-vectorization linear-svm k-nearest-neighbor benoulli-naive-bayes
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- Jupyter Notebook
A DL project that helps in classifying Toxic Comment weather it is positive or not.
python flask deep-neural-networks deep-learning tensorflow text model cnn text-vectorization toxic-comment-classification toxic-comments mcauc
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- Jupyter Notebook
In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.
natural-language-processing random-forest svm naive-bayes neural-networks logistic-regression python-notebook text-vectorization model-training fake-news-dataset fake-news-detection tf-idf-vectorization word2vec-vectorization
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- Jupyter Notebook
Comment Sentiment Analysis using Deep Learning
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- Python
A diploma project focused on vectorizing scientific texts using the Top2Vec algorithm, with the aim of analyzing thematic groups, identifying trends, and visualizing the dynamics of interest in various topics in the field of computer science.
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- Jupyter Notebook
Using text-vectorization and similarity-based-matrix computation
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- Jupyter Notebook
Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!
nlp machine-learning text-analysis kaggle kaggle-competition nlp-machine-learning interactive-visualizations text-vectorization multi-class-classification random-forest-classifier predictive-text-analysis
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- Jupyter Notebook
Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.
natural-language-processing deep-learning transformers text-generation lstm lstm-model lstm-neural-networks model-comparison text-vectorization model-training model-training-and-evaluation
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- Jupyter Notebook
🧠 Machine Learning & Natural Language Processing: Predict the author of literary text snippets. Built with TensorFlow and Keras, this project trains an LSTM model on classic literature to identify writing style and authorship.
python machine-learning natural-language-processing tensorflow keras text-vectorization text-tokenization
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- Python
Clustering text using text vectorization
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demistifying nlp with a series of nlp implementation notebooks.
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- Jupyter Notebook
A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
visualization python nlp tsv machine-learning natural-language-processing text-embedding text-vectorization
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- Python
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