pytorch-sentiment-analysis and Twitter-Sentiment-Analysis
These tools are competitors, as both aim to perform sentiment analysis, with A focusing on general PyTorch and TorchText fundamentals for the task and B specifically applying various BERT models to Twitter sentiment.
About pytorch-sentiment-analysis
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
These tutorials help machine learning practitioners understand and implement sentiment analysis models using PyTorch. You'll learn to take raw text data, like movie reviews, and classify them as positive or negative, giving you insights into public opinion. This resource is for data scientists or ML engineers looking to build or improve text classification systems.
About Twitter-Sentiment-Analysis
avulaankith/Twitter-Sentiment-Analysis
Twitter Sentiment Analysis with various bert models
This project helps social media analysts, marketers, or researchers understand public opinion by analyzing Twitter data. You feed it tweets, and it tells you whether the sentiment expressed is positive, negative, neutral, or irrelevant. This is useful for anyone tracking brand perception, campaign reactions, or general public mood around specific topics.
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