ULMFiT Model that classifies swahili news articles
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Updated
Jun 8, 2024 - Python
ULMFiT Model that classifies swahili news articles
Cybertron: the home planet of the Transformers in Go
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Generating movie plots based on genres 🎥🎞️🎬📽️
This collection features a series of NLP projects, covering diverse aspects. Explore projects in text processing, sentiment analysis, entity resolution, and more.
MTEB: Massive Text Embedding Benchmark
This is a simple GUI created using tkinter in Python that offers some text analysis features like sentiment analysis etc. using an API.
Client interface for all things Cleanlab Studio
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
Exploring the impact of contextual attention on Arabic text classification: This study examines how contextual attention, such as that implemented in transformers, influences the performance of generative models for Arabic text classification, by analyzing attention mechanisms and their usefulness.
Dataset and code for the paper MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations (ACL'24).
Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.
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.
NucliaDB, The AI Search database for RAG
ML pipeline to categorize emergency messages based on the needs communicated by the sender.
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
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.
Links to my repositories, where I implement a wide variety of Natural Language Processing models using TensorFlow and Hugging Face.
Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
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