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
- Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.☆21Updated 4 years ago
- 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
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆70Updated 4 years ago
- Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset☆25Updated 4 years ago
- In this repository, i will be making some cool projects in NLP from basic to intermediate level.☆147Updated last year
- Manning Live Project: Sentiment Analysis and Natural Language Processing for Marketing☆67Updated 4 years ago
- Twitter Sentiment Analysis & Extraction for COVID-19☆13Updated 2 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
- ☆37Updated 4 years ago
- Aspect Term Extraction and Aspect-based Sentiment Analysis on SemEval-2014 task4☆29Updated 4 years ago
- Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, D…☆92Updated 2 weeks ago
- A notebook to understand the concept of Information Extraction using NLP techniques in Python.☆42Updated 3 years ago
- Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:☆131Updated 3 years ago
- Natural Language Processing. From data preparation to building model and deploy the model to web service☆11Updated 6 years ago
- NLP-Project-Fake-News-Detection☆20Updated 5 years ago
- Let us look at how we can implement text classification with Tensorflow https://www.tensorflow.org/ TensorFlow is an end-to-end open sour…☆13Updated 3 years ago
- ☆150Updated 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
- 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
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆31Updated 4 years ago
- Classify news into categories based on headline.☆29Updated 6 years ago
- ☆21Updated 6 years ago
- Project using Naive Bayes, SVM, CNN, LSTM, etc.☆16Updated 3 years ago
- To build multilingual models with English-only training data to find the toxicity among Mutilingual Comments☆9Updated 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
- Multi Emotion Detection from COVID-19 Text using BERT☆19Updated 8 months ago
- OffensEval2020 Shared Task☆17Updated 3 years ago
- NLP model that uses Machine Learning to detect offensive tweets, and classify it's target.☆26Updated 4 years ago
- Predict the toxicity rating of comment made by the user.☆42Updated 5 years ago