awesome-sentiment-analysis
pytorch-sentiment-analysis
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| awesome-sentiment-analysis | pytorch-sentiment-analysis | |
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| 1 | 2 | |
| 526 | 4,225 | |
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| 1.9 | 4.0 | |
| 6 months ago | about 1 month ago | |
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| - | MIT License |
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awesome-sentiment-analysis
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What are the ways to handle out of domain inputs for text classification?
Get or generate negative class data. There are adversarial approaches that can improve domain generalization, but it's best to acquire more data from diverse sources. You mentioned you're working on sentiment in one of your comments- there are a ton of open-source sentiment datasets, at least for English, comprising millions of rows of data. Randomly sample from a wide variety of them to hit as many domains as possible. It's also worth including a neutral class.
pytorch-sentiment-analysis
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Ich habe einen Bot gebastelt für Ovalwichs
z.B. https://github.com/bentrevett/pytorch-sentiment-analysis
- German language sentiment classification - NLP Deep Learning
What are some alternatives?
awesome-hungarian-nlp - A curated list of NLP resources for Hungarian
spark-nlp - State of the Art Natural Language Processing
obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
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.
Sentiment - An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
afinn - AFINN sentiment analysis in Python
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
Blind-App-Reviews - Scraped reviews of over 25 companies from the Blind App ⚡️