GitHub topics: distilbert-model

Repositories

herrerovir/Product-category-classifier

Fine-tuned DistilBERT model for classifying e-commerce product descriptions into categories.

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longlivewama/Sentiment-Analysis-NLP-for--Marketting-

Manning Live Project: Sentiment Analysis and Natural Language Processing for Marketing

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Parth-Udawant/Sentiment-Analysis-using-DistilBERT

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AntonisZks/Deep-Learning-for-Natural-Language-Processing

This repository focuses on Deep Learning in NLP and implements sentiment classification models on a Twitter Dataset, using machine learning algorithms. It is based on an assignment from the Department of Informatics and Telecommunications at the University of Athens (DIT UOA).

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myriamgoyet/Deep_learning--Spam_Detector--AT-T

Creation of a spam detector based on a dataset of AT&T text messages labelised

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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.

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anudeepvanjavakam1/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

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Digvijay2347/TransformerBasedYTTranscriptProcessor

Summarize YouTube videos by extracting their transcripts and generating concise summaries using natural language processing.

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eriksszva/sentiment_analysis_amazon_app

Sentiment analysis on Amazon app using distilbert pretrain model.

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scythemenace/multi-model-ft

This project implements and fine-tunes DistilBERT models across three text classification tasks: news categorization, political bias detection, and phishing email classification.

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scythemenace/hate_speech_classification

A classification project that detects hate speech in social media comments using fine-tuned transformer models, zero-shot learning, and baseline classifiers on the UC Berkeley D-Lab dataset.

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DimitriVavoulisPortfolio/aws-serverless-nlp-sentiment-4M-product-reviews

This is a production ready DistilBERT Sentiment Analysis model designed to work as a low cost market research tool with the nuiance of an actual market researcher.

Language: Python - Size: 1.93 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AIworkspace-adku/AiWorkspace

AIWorkspace is an advanced project management platform for efficient collaboration and research in computer science. It integrates task management, document creation, and video meetings into one workspace. A key feature is its AI-powered research assistant, using a custom RAG model with DistilBERT, optimized by FAISS and BM25.

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SayamAlt/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%.

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SayamAlt/Financial-News-Sentiment-Analysis

Successfully 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%.

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SayamAlt/Mental-Health-Classification-using-fine-tuned-DistilBERT

Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.

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SayamAlt/Luxury-Apparel-Product-Category-Classification-using-fine-tuned-DistilBERT

Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.

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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.

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Bayunova28/Mental_Health_Sentiment_Analysis

This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model

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minhnhat2001vt/End-2-End-Question-Answering

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Lalasa1234/CyberbullyingDetection

Finetuning the Bert-based LLM to predict whether the tweet is toxic or not

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abhiverse01/SentimentAnalysis-DistilBERT

Sentiment analysis using the distilbert-base-uncased model using the movies dataset.

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MariahFerns/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

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julicq/TFM-Classifier

LLM transformer Classifier with DistilBERT model

Language: Python - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

abhay-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.

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amberwalker-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.

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pavlosdais/Deep-Learning-NLP

Deep learning for Natural Language Processing

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asma-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.

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kalpiree/Multilingual-Articles-Similarity-Evaluation

News article Similarity

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gupta-achal02/Finetuned_DistilBERT

Finetuning DistilBERT on IMDB Dataset

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gr3gor1/Fake-News-Detection-with-DistilBERT

Thesis Project

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ongaunjie1/sentiment-analysis-BERT-tuning

Using BERT models to perform sentiment analysis on women's clothing

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pitbuk101/Hugging-Face-For-Question-Answering-System

Aim to build a question- answering product that can that can understand the information in these articles and answer some simple questions related to those articles.

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HannaAbiAkl/PSYCHIC

The official repository for the PSYCHIC model

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karish-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.

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ankit1281998/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

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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.

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Aravinth-Megnath/Text_classification-Distilbert

This project centers on elevating customer satisfaction by conducting sentiment analysis on customer feedback for an online classes and video conferencing app. The aim is to decipher customer sentiments in their feedback, extract insights, and improve user experience while addressing any concerns.

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Siddharth1989/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.

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distilbert-model 49 nlp 14 sentiment-analysis 13 natural-language-processing 13 bert-model 13 transformers 12 text-classification 9 deep-learning 9 machine-learning 9 question-answering 7 nlp-machine-learning 7 distilbert 7 python 6 bert-fine-tuning 5 pytorch 5 bert 5 logistic-regression 4 huggingface-transformers 4 text-tokenization 4 text-preprocessing 4 multiclass-classification 4 model-training-and-evaluation 4 model-inference 4 named-entity-recognition 3 fine-tuning-bert 3 fine-tuning 3 tensorflow 3 huggingface 3 xgboost-classifier 2 huggingface-datasets 2 jupyter-notebook 2 reddit 2 lstm 2 roberta 2 transfer-learning 2 pipeline 2 distilbert-fine-tuning 2 nltk 2 llm 2 fine-tune-bert-tensorflow 2 exploratory-data-analysis 2 sentiment-classification 2 inference 2 feedforward-neural-network 2 tf-idf 2 word-embeddings 2 pandas 2 sklearn 2 roberta-model 2 keytotext 1 dataset 1 sparql-endpoints 1 similarity-score 1 fake-news 1 fake-news-classification 1 fake-news-detection 1 google-colab 1 lemmatization 1 learner-centred-feedback 1 chi-square 1 sparql-query 1 blooms-taxonomy 1 sparql 1 entity-linking 1 neuro-symbolic-learning 1 neuro-symbolic-hybrid-ai 1 neuro-symbolic-ai 1 extractive-question-answering 1 knowledge-graph 1 humor-detection 1 humor-classification 1 ensemble-learning 1 neuro-symbolic 1 albert 1 gradient-tape 1 pytorch-api 1 tokenizers 1 googlecolab 1 gpu 1 ipynb 1 amazon-reviews 1 attention-mechanism 1 bidirectional-lstm 1 big-data 1 cla 1 pyspark 1 spark 1 spark-ml 1 word2vec 1 audio 1 automatic-speech-recognition 1 deepspeech-model 1 emotion-detection 1 machine-learning-algorithms 1 voice-analytics 1 error-analysis 1 nltk-python 1 part-of-speech-tagging 1 tokenization 1 wordcloud 1