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text-classification-pythonHere are 62 public repositories matching this topic...Language: All
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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)
nlp text-classification vietnamese nlp-machine-learning vietnamese-nlp vietnamese-language vietnamese-text-classification text-classification-python
a tool for comparing the predictions of any text classifiers
nlp data-science machine-learning natural-language-processing text-classification natural-language data-visualization code-quality human-computer-interaction explainable-ml xai interpretable-machine-learning text-classification-python datascience-machinelearning xai-library trustworthy-machine-learning trustworthy-ai
An example of retails products classification using scikit and nltk -
python nlp machine-learning scraper amazon scikit-learn virtualenv dataset nltk retail-products-classifier text-classification-python
This is about spam classification using HMM model in python language
nlp text-analysis hidden-markov-model spam-classification text-classification-python hidden-markov-model-for-nlp
Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.
nlp html flask deep-learning random-forest text-classification scss text-summarization logistic-regression text-processing decision-trees k-nearest-neighbours nltk-library text-categorization nltk-python text-classification-python ridge-model
Parse movie scripts for linguistic analysis
data-science text-mining parsing text-classification corpus linguistics corpus-linguistics text-classification-python
Hierarchical Multi Label Hate Speech and Abusive Language Classification
twitter text-classification classification indonesia multi-label indonesian hatespeech multilabel multilabel-classification hate-speech abusive-language text-classification-python hate-speech-detection indonesian-hatespeech indonesian-research ujaran-kebencian kata-kasar ujaran
ML classifier application with Tensorflow and Django/Celery
Typed, calibrated decisions from any open LLM, read straight from its next-token probabilities.
python text-classification calibration classification text-classification-python huggingface huggingface-transformers text-classification-multi-label zero-shot-classification llm
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.
Project is a Natural Language Processing (NLP) and Machine Learning initiative designed to analyze global public sentiment and intent during the COVID-19 pandemic. By processing millions of Bing search queries, the system visualizes the core concerns of citizens (e.g., vaccine rumors, food shortages, mental health).
machine-learning natural-language-processing deep-learning text-classification word2vec word-embeddings text-processing pandemic bing-search world-health-organization text-clustering text-classifier text-visualization text-classification-python coronavirus covid-19
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.
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.
nlp sentiment-analysis text-classification python3 transformer zero-shot-learning emotion-classification text-classification-python
Spam message classifier using NLP, TF-IDF, and Multinomial Naive Bayes with 97%+ accuracy and precision is 1.
python nlp data-science machine-learning text-classification naive-bayes artificial-intelligence nltk classification spam-classifier tfidf spam-detection countvectorizer multinomial-naive-bayes text-classification-python tfidf-vectorizer scikit-learn-python streamlit multinomial-naive-bayes-classifier
textCNN for long-text classification 文本分类
IdiomX is a research-oriented Natural Language Processing (NLP) project that investigates the translation of English idiomatic expressions using transformer-based neural models.
nlp machine-learning translation deep-learning text-classification idioms ml kaggle english arabic semantic-analysis bilingual text-classification-python huggingface dsti text-classification-multi-label idioms-learning idiom-detection
Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.
python machine-learning natural-language-processing deep-learning text-classification regex lstm nltk naive-bayes-classifier tf-idf jupyter-notebooks countvectorizer text-classification-python
High-dimensional NLP pipeline for imbalanced comment classification using TF-IDF, feature engineering, and LightGBM (Macro F1: 0.8344)
scikit-learn python3 lightgbm nlp-machine-learning tfidf-text-analysis text-classification-python multiclass-classification-models imbalanced-classification
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.
text-classification svm-training svm-model nlp-machine-learning svm-classifier machine-learning-projects text-classification-python fake-reviews fake-reviews-analysis review-spam-detection
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