GitHub topics: roberta-model
dimitriskalpak/open-language-models-sentiment
Sentiment analysis on Sentiment140 using BERT and RoBERTa models from Hugging Face
Language: Python - Size: 33.2 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
matancohen1205/Resume_Reveal
Predict seniority level from resume text and job role.
Language: Jupyter Notebook - Size: 8.34 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
shaoncse/covid-tweet-nlp-analysis
📊 Sentiment classification and topic extraction from COVID-19 tweets using NLP techniques (TF-IDF, KMeans, Voting Classifiers). University project for text analytics and public opinion analysis.
Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
Azie88/NLP-Huggingface-Covid-19-Tweet-Sentiment-Analysis
Fine Tuning text classification NLP models from huggingface with Covid-19 tweet data to build a model that classifies text based on Covid-19 sentiment
Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
KeneanDita/Moods-and-Morsels
A Python NLP project comparing rule-based sentiment classification with VADER and transformer-based models from 🤗 Huggingface. This project analyzes Amazon customer reviews to evaluate sentiment classification performance across traditional and deep learning approaches.
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
ShwetaPardhi0/Project--Sentiment_Analysis
# Project--Sentiment_Analysis Developed Python script to extract comments data from Amazon and Official site. Performed NLP based Tokenization, Lemmatization, vectorization and processed data in Machine understandable language Have used VADERS, ROBERTA and BERT models to find the sentiment of the reviews and used the ratings on the source
Language: Jupyter Notebook - Size: 886 KB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
Ad-Chekk/EchoAI
Web Content Analyzer with LLMs is a powerful tool for scraping, processing, and analyzing web content using advanced Machine Learning (ML) and Natural Language Processing (NLP) techniques. It leverages state-of-the-art models such as RoBERTa for extractive question answering, BART for summarization, and various other NLP models for tasks like senti
Language: Python - Size: 47.9 KB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
kocharvishal/Fast-Speech-Transcription-Grammar-Scoring-Engine
Built a transcription system using OpenAI’s Whisper and Fine-tuned RoBERTa-base to automatically score grammar on 100K+ sentences
Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
hs094/Sciatica
Sciatica is a powerful semantic search engine designed for academic literature exploration. This tool leverages cutting-edge transformer models to deliver precise and contextually relevant search results.
Language: Jupyter Notebook - Size: 71.6 MB - Last synced at: 20 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
Dhanush-R-git/MH-Analysis
The MHRoberta is Mental Health Roberta model. The pretrained Roberta transformer based model fine-tunned on Mental Health dataset by adopting PEFT method.
Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
AAP9002/COMP34812-NLU-NLI
Natural Language Understanding - Natural Language Inference Coursework
Language: Jupyter Notebook - Size: 34.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
jiangnanboy/text_security_audit
text security audit 安全审核-语义模型过滤 敏感内容检测系统
Language: Java - Size: 70.3 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 23 - Forks: 7
spear97/Sentiment-Analysis-Django
A web application built using the Django framework that allows users to analyze the sentiment of text inputs, providing insights into the emotional tone and polarity of the content.
Language: Python - Size: 1.53 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 2
Shakthirekak11/Political-Speech-Manipulation-Detection
🗳️ Political Speech Manipulation Detection uncovers misinformation, bias, and hostile rhetoric in political content using advanced language models and analytical pipelines. It processes speeches, tweets, and news articles to classify truthfulness, detect sentiment, and extract rhetorical and thematic patterns.
Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition
Language: Jupyter Notebook - Size: 313 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 413 - Forks: 154
valentynblaha/progetto-gestione
Best project ever
Language: Python - Size: 47.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1
rutujaingole/Deep-Learning-ECE-7123-2025-Spring-Project-2
This repository contains the code, model configurations, and report for fine-tuning a roberta-base model using Low-Rank Adaptation (LoRA)- a Parameter-Efficient Fine-Tuning (PEFT) method - on the AG News classification task. The goal was to achieve high test accuracy while keeping trainable parameters under 1 million.
Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
msikorski93/Sentiment-Analysis-on-Amazon-Reviews
A basic NLP project on musical instruments reviews on Amazon.
Language: Jupyter Notebook - Size: 560 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
Language: Jupyter Notebook - Size: 90.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 872 - Forks: 330
NakerTheFirst/Sentiment-analysis
Analyse social media sentiment of OpenAI using LinkedIn data with NLP and transfer learning
Language: Python - Size: 24.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
louisbrulenaudet/lemone-embed
All-in-one repo for the Lemone-embed project, a series of fine-tuned embedding models for Tax retrieval augmented generation (RAG).
Language: Python - Size: 3.6 MB - Last synced at: about 6 hours ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0
declare-lab/CICERO
The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.
Language: Python - Size: 7.62 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 64 - Forks: 7
delarosajav/tw-roberta-base-sentiment-FT-v2
This model is a second fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment, trained on the Sp1786/multiclass-sentiment-analysis-dataset. It builds on the first iteration by incorporating optimized techniques.
Language: Python - Size: 1.16 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
delarosajav/tw-roberta-base-sentiment-FT
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the dataset [Sp1786/multiclass-sentiment-analysis-dataset] (https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset). The text classification task in this model is based on 3 sentiment labels.
Language: Roff - Size: 1.13 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
edwinrlambert/Sentiment-Analysis-Using-Flask
A Flask-based web application that leverages advanced Machine Learning techniques to analyze sentiment in text inputs or web articles. The app utilizes the Hugging Face's Transformers library, a pre-trained RoBERTa model, and provides intuitive results using radar charts.
Language: JavaScript - Size: 857 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 2
sambhu431/Multifunctional-ChatBot-Fine-Tuned-Using-Roberta-Bart-Transformers
The project contains code and resources for a sophisticated AI-driven chatbot designed to provide accurate, context-aware responses. It uses RoBerta and BART Transformers and advance NLP techniques. The chatbot is capable of handling a wide range of domains such as healthcare , finance , etc..
Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
saedeht/HeartBert Fork of ecgResearch/HeartBert
repo for the HeartBERT model
Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
pngo1997/New-York-City-Airbnb-Recommender-System
Collaborative project of Content-based recommender system development of NYC Airbnb.
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
Psyhackological/e-motion 📦
🙂🙃 Being happy :) being sad :( with this tool, you become sentiment GIGA chad!
Language: Python - Size: 10.7 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1
Gokay1904/Financial-Forecasting-with-AI-Transformer-Models
Analyzing sentiment scores from Twitter texts using transformer models (RoBERTa, BERT) and VADER, then comparing them with actual stock values by treating the problem as both numerical and categorical.
Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Albi1999/Binary_Classification_of_Populist_Discourse
Binary Classification of Populist Discourse
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
SimReale/tweets_sexism_detector
NLP assignments about creating a sexism classifier with different approaches.
Language: Jupyter Notebook - Size: 155 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
adam-aalah/Tweet-Sentiment-Classification
Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
sergiusechel/LLM-Masked-Robber
This script utilizes Facebook AI's RoBERTa model for masked language modeling to predict the top-k most likely words for masked tokens in a given sentence. It generates variations of the input sentence by filling in the masked tokens with the predicted words.
Language: Python - Size: 1.68 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Diana-proj/TeamLab
Emotion Detection in Text Data
Language: Jupyter Notebook - Size: 65.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
huseyincenik/nlp_natural_language_processing
NLP (Natural Language Processing)
Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 1
Mnjar/sentiment-analysis-ecommerce
Sentiment analysis with self made dataset
Language: Python - Size: 20.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
krishnaura45/Echoes-of-Emotion
Decoding Sentiments in Amazon Feedback
Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0
TripCake/reddit-sentiment-anlysis
A simple usage of pretrained huggingface model RoBERTA to analyze reddit sentiments.
Language: Python - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
abhilash1910/ClusterTransformer
Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
Language: Python - Size: 29.3 KB - Last synced at: 5 days ago - Pushed at: about 4 years ago - Stars: 43 - Forks: 15
mohammad95labbaf/TransformerSentimentAnalysis
Sentiment analysis on tweets using transformer models like BERT, RoBERTa, DistilBERT, ALBERT, and XLNet with evaluation metrics.
Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 28 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
SevilayMuni/Flask-App-Roberta-Detect-News
Flask Deployment: RoBERTa-Unreliable News Detection App
Language: Jupyter Notebook - Size: 6.62 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
anurima-saha/Yelp_Review_Classification_with_RoBERTa
Project begins with webscrapping Yelp reviews and rating with 'BeautifulSoup' in Python, followed by Natural Language Processing (text cleaning, removing stopwords, tokenization and lemmatization) using 'NLTK'. RoBERTa from 'HuggingFace' has been fine-tuned for text classification with early stopping and regularization using Pytorch.
Language: Jupyter Notebook - Size: 227 KB - Last synced at: 27 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
walidbosso/Roberta_Fine_Tuning_Sentiment_Analysis
Welcome to our RoBERTa Sentiment Analysis project! In this repository, we explore the world of Natural Language Processing (NLP) by fine-tuning a RoBERTa Transformer for sentiment analysis.
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1
anurima-saha/Text-Classification
Wine reviews used to determine the type of wine training on imbalanced data using classification algorithms like SVM, Naive Bayes and Random Forest Classifier. Neural Network (CNN, RNN and LSTM) and LLM models (DistilBERT and RoBERTa) were also used followed by error analysis using SHAP.
Language: HTML - Size: 3.05 MB - Last synced at: 17 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
wangzes-kevo/entity-sentiment-soccer
Entity-Level Sentiment Analysis for Soccer Tweets
Language: Python - Size: 45.9 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
sayande01/Amazon_Review_Sentiment_Analysis
This project is a tutorial on sentiment analysis in Python, using two approaches: VADER and the transformer-based RoBERTa model from Hugging Face. The Jupyter Notebook guides you through data preprocessing, model implementation, and result interpretation, showcasing traditional and advanced NLP techniques for sentiment analysis.
Language: Jupyter Notebook - Size: 896 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Ismat-Samadov/Named_Entity_Recognition
Named Entity Recognition (NER) Model for Azerbaijani Language
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
centre-for-humanities-computing/literary_evocation
Contains data of the Ficiton4 corpus and for our experiment on literary sentiment evocation
Language: Python - Size: 22.4 MB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
DarshanAdiga/kannada-language-models
Language models fine-tuned for ಕನ್ನಡ (Kannada Language)
Language: Jupyter Notebook - Size: 938 KB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
Jay1194/InboxGeniusAI
InboxGeniusAI is an AI-driven email management tool that automatically categorizes emails, prioritizes important ones, and provides summaries and follow-up reminders. It includes sentiment analysis, voice search, and a personalized dashboard, adapting to user behavior for a streamlined inbox experience.
Language: JavaScript - Size: 2.81 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
Textualization/Ropherta
Compute RoBERTa embeddings in PHP using ONNX framework.
Language: PHP - Size: 47.9 KB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 3
Bayunova28/Mental_Health_Sentiment_Analysis
This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model
Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
HiresH9/Sentiment-Analysis
Sentiment Analysis is a natural language processing (NLP) technique used to determine the sentiment expressed in a piece of text. The goal is to analyze and categorize the emotions conveyed by the text, typically into categories such as positive, negative, or neutral. This process can help businesses understand customer opinions
Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
shwetapardhi/Project--Sentiment_Analysis
# Project--Sentiment_Analysis Developed Python script to extract comments data from Amazon and Official site. Performed NLP based Tokenization, Lemmatization, vectorization and processed data in Machine understandable language Have used VADERS, ROBERTA and BERT models to find the sentiment of the reviews and used the ratings on the source to chec
Language: Jupyter Notebook - Size: 886 KB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
Ahwar/NER-NLP-with-ONNX-Java
A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.
Language: Java - Size: 218 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 2
deepmancer/roberta-adapter-fine-tuning
Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers
Language: Jupyter Notebook - Size: 156 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0
ErfanShm/sentiment-emotion-analysis-app
A practical tool leveraging DistilBERT for sentiment analysis, offering both Streamlit and Gradio interfaces. Includes automated setup for easy deployment.
Language: Python - Size: 20.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
rudolfolah/ludwig-code-gen
Generating code with Ludwig AI/ML (PyTorch, Tensorflow)
Language: Python - Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
sohaib-arafat/nlp_matcher
This project uses the stsb-roberta-large sentence transformer model (deprecated) to check whether a set of given phrases match a certain phrase in meaning.
Language: Python - Size: 4.88 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
escaperwu/Movie_genres_classify
predict movie's genres based on overview
Language: Python - Size: 107 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Saniya-fatima/SentimentSense
Sentiment Sense is a Python project that combines VADER sentiment analysis with fine-tuned RoBERTa models to predict sentiment scores for textual data. It provides a streamlined way to analyze sentiment across various texts using state-of-the-art natural language processing techniques.
Language: Jupyter Notebook - Size: 845 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
abdulrabbanisyed/LLMs-on-Sentiment-Analysis
GPT and BERT on Sentiment analysis
Language: Jupyter Notebook - Size: 183 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
jordangreaux/US-Election-Sentiment-Analysis
Analysis of a sample of comments taken from r/Politics on June 28, 2024.
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Seavleu/Amazon-Fine-Food-Review-Sentiment-Analysis
Language: Jupyter Notebook - Size: 816 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
hperer02/PII-data-detection
This project was developed for a Kaggle competition focused on detecting Personally Identifiable Information (PII) in student writing. The primary objective was to build a robust model capable of identifying PII with high recall. The DeBERTa v3 transformer model was chosen for this task after comparing its performance with other transformer models.
Language: Jupyter Notebook - Size: 162 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
RcrSavior/SentimentAnalysis-TopicModelling
Language: Jupyter Notebook - Size: 550 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
lorenzobalzani/nlp_projects 📦
This repository contains assignments, the final course project, and the project work assigned for the Natural Language Processing (NLP) course within the Artificial Intelligence Master's program.
Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1
ai-forever/model-zoo
NLP model zoo for Russian
Size: 22.5 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 45 - Forks: 1
JordiMoralesCasas/LayoutLMv3-on-InfographicVQA
LayoutLMv3 applied to a VQA problem with infographics.
Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
layoreo23/sentiment-analysis
Natural Language Processing Python Project creating a Sentiment Analysis Classifier with NLTK's VADER and Huggingface's Roberta Transformers
Language: Jupyter Notebook - Size: 819 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
manickavela29/EmoTwitter
OnnxRT based Inference Optimization of Roberta model trained for Sentiment Analysis On Twitter Dataset
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
abhishekverma276/Sentilyze
Sentify aims to analyze sentiment in text from social media, news, and websites. Real-time analysis, granular classification, customizable settings.
Size: 45.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
swati-rajwal/migraine
Language: Python - Size: 1.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
harmanveer-2546/Sentiment-Analysis-of-Amazon-Fine-Food
For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
MajaJuri/NLP_Emoji_Recommendation
Projekt u sklopu predmeta Obrada prirodnog jezika
Language: Jupyter Notebook - Size: 93.5 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
mverbytska/amazon-reviews-sentiment-analysis
Get a better understanding on Amazon reviews overall sentiment for food goods group (April, 2024)
Language: Jupyter Notebook - Size: 7.49 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Ritwika-Das-Gupta/Disease-Diagnosis-Chatbot
This project explores the foundational concepts of ML, NLP, and model optimization to develop an efficient and user-friendly healthcare solution.
Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
farneet24/Pre-trained-Models
This repository houses three fine-tuned machine learning models for NLP tasks: Text Emotion Recognition, Sentiment Analysis, and Cyberbullying Detection.
Language: Jupyter Notebook - Size: 113 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Alberto-00/Estrazione-Automatica-di-Informazioni-da-Testi
More and more people are exchanging text messages through the use of social media, and the analysis of the information can be used to make statistics in the behavior and in people's psychology. Using Natural Language Processing (NLP), we can extrapolate key words from each message that allow us to achieve the proposed goals.
Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
TirendazAcademy/Multilingual-NER-App
Building a multilingual NER app with HuggingFace, Gradio and Comet
Language: Jupyter Notebook - Size: 23.7 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
MatthieuLeNozach/sentiment_analysis_api_with_fastapi
Language: Python - Size: 446 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Jamescruz424/Building-a-Language-Understanding-and-Question-Answering-System-using-Jeopardyl-Dataset
This repository contains the code and resources for building a language understanding and question answering system using the Jeopardy! dataset. The project aims to train a language understanding model to extract meaning from open-ended questions and leverage that understanding to answer the questions using a dedicated QA system.
Size: 851 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ycbkr123/RoBERTa-pytorch
Language: Python - Size: 732 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
NnekaAsuzu/question-answering-system-using-Gradio-s-lower-level-API
This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sofiahalima/sentiment-analysis-flask-app
Flask application for sentiment detection using LLMs
Language: HTML - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
annanav1/AI-sentiment
Exploring Sentiment of AI-Related News Articles Using VADER and RoBERTa Models
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
aniruddhochat/Text-Shield-Offensive-Text-Detection
Text-Shield-Offensive-Text-Detection
Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
hariketsheth/Offensive-Span-Identification-in-Tamil---RANLP-2023
In order to encourage constructive online debates, content control is crucial on social media sites. In this group project, participants are asked to create systems to handle offensive stretches of code-mixed social media material in Tamil.
Language: Jupyter Notebook - Size: 4.77 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
PratishMashankar/grammarly-reproduction
Reproducing ACL Paper for iterative text generation and performing Robustness and Multilinguality tests
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NasserMohamedEid/Text-AI-Detection
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ThusharaN/SciBot
An attempt at creating a chatbot utilising the Retriever-Generator approach for Open-Domain Question-Answering (QA).
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oussafik/Data-Pipeline-Twitter-Sentiment-Analysis-ELK_STACK
This project analyzes tweets about electronic products using ReBERTa, Kafka, Logstash, Elasticsearch, and Kibana for sentiment analysis and data visualization.
Language: Python - Size: 111 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
nataliakoliou/NLP-Various-Implementations
Implementation & analysis of various NLP techniques in Python: 4 projects on tokenization, text classification, sequence labeling, and more
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purveshpatel511/offensive-hateful-text-multiclassification
This is NLP project of text multi-classification. My pre-trained model classify speech into three different categories offensive, hateful and neither.
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cezarmendes/NLP-Recommendation-System-Restaurant-menu
This project presents an innovative approach to restaurant menu optimization through sentiment analysis of customer reviews. It utilizes advanced natural language processing (NLP) techniques, employing frameworks like NLTK, RoBERTa, SpaCy, and Word2Vec, to analyze and interpret customer feedback from Yelp reviews.
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jpsam07/sentiment-analysis-on-amazon-fine-food-reviews
A natural language processing (NLP) project using Python with NLTK, and Huggingface Roberta Transformers for sentiment analysis on Amazon food reviews.
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AjNavneet/Emotion_Classification_RoBERTa_XLNet
RoBERTa and XLNet models to perform classification on the human emotion.
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rishi2002/Comparing-Pretrained-Language-Models-for-Molecular-Activity-Prediction
I predicted the pCHEMBL values, AlogP values, Molecular Weight and nunmber of Lipinski's Rule of 5 Violations of a biomolecule by end to end training multiple pretrained Language models, on Dopamine D2 active compounds sourced from the CHeMBL database.
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JayaswalVivek/Masked_Language_Model
Create a masked language model for a vernacular of your choice.
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