Studies show that people are more depressed than ever after the pandemic, but is the way we are measuring depression even accurate?
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Updated
Mar 21, 2024 - Python
Studies show that people are more depressed than ever after the pandemic, but is the way we are measuring depression even accurate?
BPE Tokenizer for Ropherta (subclass of GPT3Tokenizer)
An NLP research project utilizing the "cardiffnlp/twitter-roberta-base-sentiment-latest" pre-trained transformer for tweet tokenization. The project includes an attention-based biLSTM model that predicts sentiment labels for tweets as negative (-1), neutral (0), or positive (1).
Welcome to our RoBERTa Sentiment Analysis project! In this repository, we explore the world of Natural Language Processing (NLP) by fine-tuning a RoBERTa Transformer for sentiment analysis.
Persian text simplification using lexical simplification
Finetuning Roberta on your own dataset
More and more people are exchanging text messages through the use of social media, and the analysis of the information can be used to make statistics in the behavior and in people's psychology. Using Natural Language Processing (NLP), we can extrapolate key words from each message that allow us to achieve the proposed goals.
LSTM models for text classification on character embeddings.
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