bert

BERT Pre-Trained Model with your Target Corpus :D

An attempt to solve multilabel text classification problem using BERT encoder

A sequence-to-sequence model using BERT.

In this Kaggle competition, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t.

Performed sentiment analysis using word2vec and TF-IDF baseline models as well as BERT.

Submission for Kaggle Competition "Real or Not? NLP with Disaster Tweet" (Top 10%) using SVM's, LSTM's, and BERT

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Contains the notebook used during the shared task SMM4H-ProfNER

This is my 8th place RuCoS solution from ONTI "AI"

Online Gender Based Violence Classifier based on TRAC2020 dataset

A Span-Based QA system in Chinese

Text Mining develops methods for accessing information in and extracting knowledge from large volumes of text. The purpose of this repository is to research on classification of fake/real news on a dataset obtained from kaggle

Project of Intact Challenge

Learning machine learning and sentiment analysis using TensorFlow

Sentiment analysis (NLP) project

MLOps solution for predicting tweet metrics. Uses PyTorch, HuggingFace Transformers, MLflow for model monitoring, and Flask for model serving.

Implementation of a BERT model to normalize biological entities from the Bacteria Biotope 4 corpus.

QA chatbot built in order to recommend movies and answer questions about those movies