Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
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Updated
Jun 6, 2024 - Jupyter Notebook
Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
MTEB: Massive Text Embedding Benchmark
Fine-tuning Large Language Models (LLMs) for Text Classification Task
NucliaDB, The AI Search database for RAG
This collection features a series of NLP projects, covering diverse aspects. Explore projects in text processing, sentiment analysis, entity resolution, and more.
Welcome to InterviewX, your ultimate interview companion powered by AI. With features like scam detection, resume optimization, real-time posture analysis, time-saving text summarization, and ice breaker insights, InterviewX equips you with everything you need to ace your next interview with confidence and ease.
This repository contains various tools intended for handling Natural Language Processing (NLP) tasks
OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
Lightning-Fast Text Classification with LLM Embeddings on CPU
Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!
DReAMy: a library for dream-reports annotation methods with python, NLP, and LLMs
Unofficial (Golang) Go bindings for the Hugging Face Inference API
HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.
Word embeddings are very useful representations of words that can represent semantic information. This project trains some Word2Vec embeddings, uses RoBERTa (and other embeddings) for semantic text similarity and also does text classifcation
Client interface for all things Cleanlab Studio
Mono Repository for GengoAI projects
This repository contains projects that classify texts using a variety of machine learning and deep learning models. The projects show use-cases of classifying text data through Natural Language Processing methods.
💫 Industrial-strength Natural Language Processing (NLP) in Python
State of the Art Natural Language Processing
Conveniently access the REST API of Averbis products using Python
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