sklearn-vectorizer

There are 1 repository under sklearn-vectorizer topic.

• aquatiko / sentiment-analysis-TfIdf-vectorizer-method

  Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.

  sentiment-analysistfidfnaive-bayes-classifiermovie-reviewssklearn-vectorizerwordnetconfusion-matrix
  Language:Jupyter Notebook 16

• ChristophAlt / embedding_vectorizer

  Scikit-learn vectorizer implementing "A simple but tough-to-beat baseline for sentence embeddings." by Arora, Sanjeev, Yingyu Liang, and Tengyu Ma. (2016)

  sklearn-vectorizersentence-embeddings
  Language:Python 12

• aditeyabaral / newsnow

  Automated document merging and extractive summarization of news articles

  newsnlppython-3python-3-6python3python36sklearnsklearn-vectorizertext-processingwebscrapewebscraperwebscraping
  Language:Python 4

• Elijas / movie-review-sentiment-polarity-classifier

  Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"

  mlmachine-learningmachinelearningmachinelearning-pythonipynbipynb-notebookipynb-jupyter-notebookjupyterjupyter-notebookmodelsentiment-analysissentiment-classificationsentiment-polaritysentiment-classifiermovie-reviewsreviewssklearnsklearn-classifysklearn-vectorizertext-classification
  Language:Jupyter Notebook 2

• rishabh-karmakar / Detection-of-Real-or-Fake-News

  Detect Real or Fake News. To build a model to accurately classify a piece of news as REAL or FAKE. Using sklearn, build a TfidfVectorizer on the provided dataset. Then, initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

  nlptexttext-classificationtfidf-vectorizertfidftfidf-text-analysispassive-aggressivepassive-aggressive-classifiersklearnsklearn-vectorizernewsreal-fake-news
  Language:Jupyter Notebook 2

• Arko-Sengupta / KnowGenius

  KnowGenius an AI Chatbot who's a General Knowledge Genius!

  flaskflask-apiflask-restfulnltknltk-corpusnltk-pythonnltk-tokenizerpandaspandas-dataframepandas-datareaderpythonpython3requestsrequests-pythonsklearnsklearn-metricssklearn-vectorizerstreamlitstreamlit-componentstreamlit-webapp
  Language:Python 1

• curiousnish / fake-news-detector

  Detect FAKE news using sklearn

  sklearn-vectorizertf-idftfidfvectorizerpassive-aggressive-classifierfake-newsbinary-classification
  Language:Jupyter Notebook 1

• guptaharshnavin / AbstractIt-Extractive-Text-Summarizer

  Summarization of text using Extractive Summarization. Developed using Python with Spacy & sklearn.

  natural-language-processingnlpsummarizationpython3spacysklearn-vectorizer
  Language:Jupyter Notebook 1

• Raquelie / telegram_group_stats

  Notebook for experimenting with chat data

  telegrampython3sklearn-vectorizer
  Language:Jupyter Notebook 0

• arezamoosavi / book-recommend-web-service

  This project is a rest-api that recommend books for user

  goodreadsbook-recomendationrestful-apiflaskcassandracassandra-drivernginxpandassklearn-vectorizerredisceleryrabbitmqgunicornasynchronous-programmingdockerdocker-composemachine-learning-api
  Language:Python

• HotelTango314 / cs5293sp23-project2

  The 3rd of 4 NLP Projects - this project clusters a corpus of culinary recipe texts. The cuisine of each recipe is known and each cluster is labeled with the majority cuisine in that cluster. New recipes are then introduced and clustered and labeled with the cuisine of the closest cluster.

  document-clusteringnlp-spacysklearn-vectorizer
  Language:Python

• LaurentVeyssier / Predict-english-speaking-region-of-origin-by-analyzing-tweets

  Predict the region of origin of an english-speaking tweet author by analyzing tweet content using machine learning classifier

  classification-modelnatural-language-processingpythonsklearn-classifysklearn-vectorizer
  Language:Jupyter Notebook