A Framework for Textual Entailment based Zero Shot text classification
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Updated
Mar 18, 2024 - Python
A Framework for Textual Entailment based Zero Shot text classification
Pebblo enables developers to safely load data and promote their Gen AI app to deployment
Ten Thousand German News Articles Dataset for Topic Classification
Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark
NLPlay is a Pytorch library which implements some key & baseline models for text classifications problems
A Simple PoC (Proof of Concept) of Topic Classification API Server. A core dependency of nostr-filter-relay.
🔍 A simple topic detector.
Code + data for the EMNLP'20 publication "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages"
TopCon^2 - Conformal Constrained Topic Classification
Source code for the paper "Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19" (2020)
Implementation of Naive Bayes' classifier to classify topics from text
This project implements a semi-supervised approach to classify UN speeches. Utilized BERT, Gensim, Node2Vec and Tensorflow
Domain-specific, fine-grained topic classification, by training models using textbooks.
Based on svm learning single label and muilti-class
Topic classifier based on MPNet, for 16 general topics
Supervised Machine Learning methods (Random Forest and SGD Classifier) to classify short conversations extracted from Reddit
Interpseech 2024 - News Topic classification (dataset, evaluation and models source)
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