Text Classifier
Creates models to classify documents into categories
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Text Classifier | 65 | 7 years ago | gpl-3.0 | C++ | ||||||
| Creates models to classify documents into categories | ||||||||||
| Text Classification Cn | 33 | 3 years ago | 1 | Python | ||||||
| 中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法 | ||||||||||
| Ml Spam Sms Classification | 23 | 3 years ago | n,ull | Jupyter Notebook | ||||||
| Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification | ||||||||||
| Sentimentanalysis | 21 | 4 years ago | n,ull | Jupyter Notebook | ||||||
| (BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset | ||||||||||
| Multimodal Sentiment Analysis | 20 | 6 years ago | Jupyter Notebook | |||||||
| Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning. | ||||||||||
| Ml Based Waf | 19 | 4 years ago | n,ull | Jupyter Notebook | ||||||
| Simple machine learning based web application firewall (WAF) created in python | ||||||||||
| Email Spam Detection | 11 | 4 months ago | Python | |||||||
| This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification | ||||||||||
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