langhuan
nlphose
| langhuan | nlphose | |
|---|---|---|
| 2 | 4 | |
| 12 | 10 | |
| - | - | |
| 1.8 | 2.7 | |
| over 2 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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langhuan
nlphose
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NlphoseBuilder : A tool to create NLP pipelines via drag and drop
The tool generates a nlphose command that can be executed in a docker container to run the pipeline. These pipelines can process streaming text like tweets or static data like files. They can be executed just like normal shell command using nlphose. Let me show you what I mean !
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Create NLP pipelines with drag and drop
Recently I have started work on query builder GUI for my open source project nlphose.
- nlphose is a collection of command line utilities, which can be piped together to create complex NLP pipelines for processing stream of tweets (or any other textual data). Currently supports sentiment analysis, 0-shot classification, Q&A, NER, Chunking.
- nlphose : A collection of utilities, which can be piped together to create complex NLP pipelines for processing tweets (and other data); inspired by the “Unix tools philosophy”. Currently supports sentiment analysis, question answering , zero-shot classification, language detection, NER, chunking
What are some alternatives?
Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
ABSA-PyTorch - Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
markup - A web-based document annotation tool, powered by GPT-4 :rocket:
nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
blockly - The web-based visual programming editor.
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.
wink-eng-lite-model - English lite language model for wink-nlp.
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)