dblilienthal / Multiclass-Text-Classification-with-DistilBERT-on-COVID-19-Tweets
I implement a deep learning network to classify COVID-19 Tweets into 5 categories and 3 categories using DistilBERT (a lighter version of BERT) as an embedding layer along with an LSTM and Dense Layer. I Achieve 65% accuracy with 5 categories and 80% accuracy on 3 categories.
☆12Updated 3 years ago
Alternatives and similar repositories for Multiclass-Text-Classification-with-DistilBERT-on-COVID-19-Tweets:
Users that are interested in Multiclass-Text-Classification-with-DistilBERT-on-COVID-19-Tweets are comparing it to the libraries listed below
- Using NLP and LDA for Topic Modeling and Sentiment Analysis☆43Updated 4 years ago
- Retrieving 'Topics' (concept) from corpus using (1) Latent Dirichlet Allocation (Genism) for modelling. Perplexity and Coherence score we…☆12Updated 6 years ago
- ☆211Updated last year
- In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food review…☆44Updated 3 years ago
- Simple Text Classfication using SVM and Naive Bayes☆76Updated 2 years ago
- Aspect-Based Opinion Mining involves extracting aspects or features of an entity and figuring out opinions about those aspects. It's a me…☆22Updated 4 years ago
- (BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on T…☆71Updated 5 years ago
- Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, D…☆93Updated 2 weeks ago
- ☆37Updated 4 years ago
- # Topic modeling with BERT, LDA and Clustering. Latent Dirichlet Allocation(LDA) probabilistic topic assignment and pre-trained sentence …☆53Updated 4 years ago
- Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review …☆75Updated 5 years ago
- Aspect Term Extraction and Aspect-based Sentiment Analysis on SemEval-2014 task4☆28Updated 4 years ago
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆30Updated 4 years ago
- In this repository, i will be making some cool projects in NLP from basic to intermediate level.☆148Updated last year
- Kaggle Toxic Comments Challenge☆109Updated 6 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆70Updated 4 years ago
- ABSA Toolkit☆11Updated 7 years ago
- This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (h…☆38Updated 9 months ago
- How to extract sentiment from opinions without any labels☆139Updated 3 years ago
- Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.☆21Updated 4 years ago
- In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras☆208Updated 3 years ago
- Finetuning BERT in PyTorch for sentiment analysis.☆22Updated 2 years ago
- OffensEval2020 Shared Task☆17Updated 4 years ago
- A guide for binary class sentiment analysis of tweets.☆95Updated 6 years ago
- ☆150Updated 2 years ago
- Natural Language Processing. From data preparation to building model and deploy the model to web service☆11Updated 6 years ago
- Project using Naive Bayes, SVM, CNN, LSTM, etc.☆16Updated 3 years ago
- Text augmentation, deep learning, and aspect-based sentiment analysis.☆14Updated 3 years ago
- It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by m…☆247Updated last year
- Aspect Based Sentiment Analysis identifies the aspect terms and the sentiment polarity associated with each aspect term in the given revi…☆10Updated 3 years ago