hashformers VS pytorch-sentiment-analysis

Compare hashformers vs pytorch-sentiment-analysis and see what are their differences.

hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs). (by ruanchaves)
hashtag-segmentor word-segmentation Transformers transformers-gpt2 Deep Learning NLP Twitter tweet-analysis tweets-classification sentiment-analysis sentiment-classification sentiment-polarity twitter-sentiment-analysis Natural Language Processing Bert Transformer Segmentation Paper large-language-models llms
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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis. (by bentrevett)
Pytorch sentiment-analysis Tutorial Rnn Lstm Fasttext torchtext sentiment-classification Cnn cnn-text-classification lstm-sentiment-analysis pytorch-tutorial pytorch-tutorials pytorch-nlp NLP Natural Language Processing recurrent-neural-networks word-embeddings Transformers Bert
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hashformers pytorch-sentiment-analysis
2 2
63 4,236
- -
6.2 4.0
11 months ago about 1 month ago
Python Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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hashformers

Posts with mentions or reviews of hashformers. We have used some of these posts to build our list of alternatives and similar projects.

pytorch-sentiment-analysis

Posts with mentions or reviews of pytorch-sentiment-analysis. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing hashformers and pytorch-sentiment-analysis you can also consider the following projects:

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

spark-nlp - State of the Art Natural Language Processing

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

should-i-follow - 🦄 An NLP application just for the lols: built with Haystack to get an overview of what a user is posting about on Twitter

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

hate-speech-and-offensive-language - Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

afinn - AFINN sentiment analysis in Python

hashformers vs Twitter-sentiment-analysis pytorch-sentiment-analysis vs spark-nlp hashformers vs NewsMTSC pytorch-sentiment-analysis vs Basic-UI-for-GPT-J-6B-with-low-vram hashformers vs FinBERT pytorch-sentiment-analysis vs Time-Series-Forecasting-Using-LSTM hashformers vs should-i-follow pytorch-sentiment-analysis vs Behavior-Sequence-Transformer-Pytorch hashformers vs cellpose pytorch-sentiment-analysis vs malaya hashformers vs hate-speech-and-offensive-language pytorch-sentiment-analysis vs afinn