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
A nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), sentiment, topic, and various rules.
The dataset and code for the EMNLP 2022 paper "Hierarchical Multi-Label Classification of Scientific Documents" are released here.
Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark
ESG investment portfolio system
פרויקט ליצירת מודל קלסיפיקציה המסווג ציטוטים מפרוטוקלי ישיבות הכנסת לשמונה נושאים.
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.
Code + data for the EMNLP'20 publication "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages"
Implementation of Naive Bayes' classifier to classify topics from text
🔍 A simple topic detector.
This project attempts to bridge the huge gap between people who struggle with mental health and people who actually get treated with the design and implementation of Kai, an AI-powered Chatbot that supports Cognitive Behavioral Therapy (CBT).
Training and evaluating topic classification models (fastText and Transformer-based language models) for topic classification of Slovenian news texts. The repository can be used as a tutorial to learn topic classification.
Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec
NLP pipeline, Topic Classification and multicore hyperparameter tuning algorithms in Python 3.8. It was developed for the research "How COVID-19 Impacted Data Science: a Topic Retrieval and Analysis from GitHub Projects' Descriptions" (SBBD 2021)
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