ABSA-PyTorch
nlphose
| ABSA-PyTorch | nlphose | |
|---|---|---|
| 1 | 4 | |
| 1,950 | 10 | |
| - | - | |
| 0.0 | 2.7 | |
| 11 months ago | over 2 years ago | |
| Python | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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ABSA-PyTorch
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Is there an open-source way to replicate entity-level sentiment from Google's Cloud Natural Language API?
I'm learning about NLP and was really impressed with Google's Natural Language API (demo). It seems that entity-level sentiment analysis is the future of NLP. Has anyone in the community come across open-source libraries that replicate the API (although of course with lower F1 scores). I found an excellent repo called ABSA-PyTorch but it seems that all the implementations are classification-based; that is, they return "positive/negative" rather than a spectrum between positive and negative. Is there a sub field of Aspect-Based Sentiment Analysis (ABSA) that isn't classification based? I wasn't able to find any keywords despite hours of Google searching.
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?
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
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.
entity-sentiment-analysis - Various ops for handling several entities in a document, perform anaphora resolution, clustering, etc.
blockly - The web-based visual programming editor.
ERNIE - Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
wink-eng-lite-model - English lite language model for wink-nlp.
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 .
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)