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#

text-classification-python

Here are 38 public repositories matching this topic...

We use LSTM, BiLSTM, BERT and SVM with TF-IDF, Word2vec and Bag-of-words to classify this documents to positive (labeled as 1), neutral (labeled as 0) and negative (labeled as 2)

  • UpdatedSep 26, 2023
  • Jupyter Notebook

对20 newsgroups 数据集 进行文本分类

  • UpdatedJul 17, 2018
  • Python

An example of retails products classification using scikit and nltk -

  • UpdatedNov 22, 2018
  • Python

This is about spam classification using HMM model in python language

  • UpdatedNov 28, 2022
  • Python

Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.

  • UpdatedJul 17, 2021
  • Jupyter Notebook

ML classifier application with Tensorflow and Django/Celery

  • UpdatedMar 24, 2023
  • Python

Hermes is an open-source AI-powered system for automated message filtering in Telegram groups, notifying users only about relevant content through a modular container-based architecture.

  • UpdatedFeb 27, 2025
  • Java

TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.

  • UpdatedAug 9, 2024
  • Python

scraping bbc news with scrapy, cleanse and store them to public MongoDB database and provide public APIs with AWS, including text-classification example with machine-learning algorithm to predict tag text from BBC news article text.

  • UpdatedNov 21, 2018
  • Jupyter Notebook

textCNN for long-text classification 文本分类

  • UpdatedOct 14, 2021
  • Python

Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.

  • UpdatedMar 16, 2021
  • Jupyter Notebook

This project shows up the algorithm k-means implemented to cluster documents from the contest PAN CLEF 2O16 where the topics of the documentes are reviews and novels.

  • UpdatedFeb 4, 2018
  • Jupyter Notebook

Text Classification Engine for Sensor Fusion

  • UpdatedNov 7, 2020
  • Jupyter Notebook

Detects fake product reviews using supervised ML algorithms like SVM, Random Forest, and XGBoost. Uses NLP techniques (tokenization, lemmatization, TF-IDF) for preprocessing. SVM achieved the highest accuracy and F1-score. Aims to enhance trust in online review systems.

  • UpdatedJun 22, 2025
  • Jupyter Notebook

💬 It uses NLP techniques to classify reviews as positive, neutral or negative, providing valuable insights into customer feedback.

  • UpdatedNov 13, 2024
  • Jupyter Notebook

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