Sentiment analysis using BERT on Google Play reviews
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Updated
Oct 27, 2020 - Python
Sentiment analysis using BERT on Google Play reviews
Subtask1 and Subtask2 solution of SemEval 2020 Task6 https://competitions.codalab.org/competitions/22759
A set of Python scripts that creates a dataset of bill texts and subjects, then fine-tunes BERT on the dataset.
An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
DACON 기후기술분류 경진대회 at @KNU-BrainAI (2021)
bert文本多分类(情感分析)、bert-bilstm-crf序列标注任务(快递地址的序列标注任务)
Using the pretrained BERT Multilingual model, a language detection model was devised. The model was fine tuned using the Wikipedia 40 Billion dataset which contains Wikipedia entries from 41 different languages. The model was trained on 16 of the languages.
Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)
Python-based toolkit for building and evaluating a transformer-based FAQ retrieval system
Building model in order to identify whether a tweet is rumor
Code for identify the topics responsible for the propagation of hate speech on the social network platform. Project for 'NLP' at University of Twent
Investigation of how sampling strategies affect Selective Prediction performance in Multi Task Learning
performing name entity recognition also known as NER, on a kaggle dataset,and serving it using flask API
TensorFlow code and pre-trained models for BERT
Fine-tuned BERT model for multi-class uncertainty cues recognition.
The code for "Sarcasm Detection with Commonsense Knowledge"
A old fashion multi-label classification model embeded with bert even for large dataset
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