distilbert-model
There are 0 repository under distilbert-model topic.
YonghaoZhao722 / distilbert-base-uncased-finetuning
This repository contains a DistilBERT model fine-tuned using the Hugging Face Transformers library on the IMDb movie review dataset. The model is trained for sentiment analysis, enabling the determination of sentiment polarity (positive or negative) within text reviews.
Language:Jupyter Notebook 86karish-grover / Humor-Analysis-using-Ensembles-of-Simple-Transformers
This paper describes Humor Analysis using Ensembles of Simple Transformers, the winning submission at the Humor Analysis based on Human Annotation (HAHA) task at IberLEF 2021.
Language:Jupyter Notebook 7HannaAbiAkl / PSYCHIC
The official repository for the PSYCHIC model
Language:Jupyter Notebook 3sonu-gupta / Doxing-on-Twitter
This repository contains my work on the prevention and anonymization of dox content on Twitter. It contains python code and demo of the proposed solution.
Language:Jupyter Notebook 3abhay-43 / Internet-Hinglish-Memes-Classification-using-Multimodal-Learning
This project classifies Internet Hinglish memes using multimodal learning. It combines text and image analysis to categorize memes by sentiment and emotion, leveraging the Memotion 3.0 dataset.
Language:Jupyter Notebook 2abhiverse01 / SentimentAnalysis-DistilBERT
Sentiment analysis using the distilbert-base-uncased model using the movies dataset.
Language:Jupyter Notebook 2anudeepvanjavakam1 / lit_or_not_on_reddit
This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition
Language:Jupyter Notebook 2Hasibwajid / Novel-Emotion-Detection-Using-emotion-english-distilroberta-base
Analyzes emotions in text chunks per chapter using a sentiment analysis model, visualizing scores across chunks as line graphs. Includes pie charts showing dominant emotions per chapter, enhancing understanding of emotional variations in text chunks. Developed using Transformers library.
Language:Jupyter Notebook 2ongaunjie1 / sentiment-analysis-BERT-tuning
Using BERT models to perform sentiment analysis on women's clothing
Language:Jupyter Notebook 2pavlosdais / Deep-Learning-NLP
Deep learning for Natural Language Processing
Language:Jupyter Notebook 2rybread1 / coronavirus-tweet-nlp
Multiclass classification on tweets about the coronavirus
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jungsoh / transformers-question-answering
Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering
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muktajoya / TextClassification
Finetune the Transformer model 'DistilBERT' with PyTorch framework . Then inference on a dataset by using this fine-tuned model with the help of Pipeline.
Language:Jupyter Notebook 1Ritaprava95 / Custom_Entity_Extraction_Transformers
Performing named entity extraction task using Huggingface Transformers
Language:Jupyter Notebook 1SaiferGit / Hands-On-QA
We explored recent studies in Question Answering System. Then tried out 3 different QA models(BERT and DistilBERT) for the sake of learning.
Language:Jupyter Notebook 1Siddharth1989 / LearnerCentricFeedbackEnhancement
Developing a feedback theory-informed natural language processing (NLP) model to enable large-scale evaluation of written feedback, and analysing a large set of feedback extracted from Moodle using this model to understand the presence of student-centred feedback elements, the commonality and differences in feedback provision across disciplines.
Language:Jupyter Notebook 1amberwalker-ds / Advanced_NLP_project
This project involves analyzing and classifying the BoolQ dataset from the SuperGLUE benchmark. We implemented various classifiers and techniques, including rules-based logic, BERT, RNN, and GPT-3/4 data augmentation, achieving performance improvements.
Language:Jupyter Notebook 0asfkfjhe / Job.Query
This project is designed to streamline the recruitment process by providing a job and resume matching system and a chatbot for applicants. The key functionalities include: Job and Resume Matching and LLM powered chatbot
Language:HTML 0asma-hachaichi / Contextual-answering
Advanced NLP with Contextual Question Answering: This notebook extracts, cleans, and processes text data from multiple files. It utilizes transformer models for contextual question answering and sentence generation. Perfect for exploring cutting-edge NLP techniques and comparing transformer model performances.
0Bayunova28 / Mental_Health_Sentiment_Analysis
This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model
Language:Jupyter Notebook 0julicq / TFM-Classifier
LLM transformer Classifier with DistilBERT model
Language:Python 0Lalasa1234 / CyberbullyingDetection
Finetuning the Bert-based LLM to predict whether the tweet is toxic or not
Language:Jupyter Notebook 0MariahFerns / QuestionAnswering-BERT-Finetuned-Finance
Fine tune bert on a question answering dataset that is further finetuned on finance data to answer questions posed by senior leadership
Language:Jupyter Notebook 0mcxraider / Sentiment-Analysis-with-BERT
Sentiment Analysis of movie reviews
Language:Jupyter Notebook 0yashk1900 / BridgeI-I_2021
Classification, ADSA and Text Summarisation based project for BridgeI2I Task at Inter IIT 2021 Competition. Silver Medalists.
Language:Jupyter Notebook 0ankit1281998 / Sentiment_Analysis
Implemented pre-trained Transformer-based distilBERT and BERT multilingual model to classify sentiments in positive or negative class and ranked them on scale of 1 to 5
Language:Jupyter NotebookDimitriVavoulisPortfolio / aws-serverless-nlp-sentiment-4M-product-reviews
This is a production ready DistilBERT Sentiment Analysis model for product reviews designed to work as a low cost market research tool with the nuiance of an actual market researcher.
Language:PythonThis is a production ready DistilBERT Sentiment Analysis model for service reviews designed to work as a low cost market research tool with the nuiance of an actual market researcher.
Language:PythonSayamAlt / Cyberbullying-Classification-using-fine-tuned-DistilBERT
Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.
Language:Jupyter NotebookSuccessfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
Language:Jupyter Notebookselcia25 / text-analysis
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
Language:Jupyter Notebookshreyansh-2003 / xi-putin-wikipedia-articles-analysis
This project analyzes and compares the Wikipedia articles of Xi Jinping and Vladimir Putin over 20 years, uncovering differences in portrayal, sentiment, and biases to measure public perception of each leader.
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