n4m-sentiment
awesome-sentiment-analysis
| n4m-sentiment | awesome-sentiment-analysis | |
|---|---|---|
| 1 | 1 | |
| 10 | 526 | |
| - | - | |
| 0.0 | 1.9 | |
| almost 3 years ago | 6 months ago | |
| Max | ||
| GNU General Public License v3.0 or later | - |
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n4m-sentiment
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n4m-sentiment : sentiment analysis for MaxMSP
Download it for free here: https://github.com/lysdexic-audio/n4m-sentiment
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.
What are some alternatives?
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
awesome-hungarian-nlp - A curated list of NLP resources for Hungarian
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
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 .
afinn - AFINN sentiment analysis in Python
Sentiment - An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
n4m-handpose - Wraps MediaPipe HandPose inside electron and serves the detected parts via MaxAPI.
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 !
Blind-App-Reviews - Scraped reviews of over 25 companies from the Blind App ⚡️
financial-news-dataset - Reuters and Bloomberg