ABSA-PyTorch
obsei
Our great sponsors
| ABSA-PyTorch | obsei | |
|---|---|---|
| 1 | 9 | |
| 1,945 | 1,079 | |
| - | 4.2% | |
| 0.0 | 4.2 | |
| 11 months ago | 29 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ABSA-PyTorch
-
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.
obsei
- Resources for social listening (preferably but not limited to Spanish)
- Some information and advice about DDoS, from someone who was there during #opPayback
-
Obsei: Missing YouTube dislike count?
Repo URL: https://github.com/obsei/obsei
-
Introducing Obsei
Allow me to introduce Obsei (pronounced "Ob see" | /əb-'sē/). It is a low-code AI powered automation tool. Name was derived from three words OBServe, AnalyzE, Inform.
- Low-Code and the Democratization of Programming
- Made a website listing jobs with a 4 day work week
-
Obsei a tool to automate text analysis workflows with major social media platforms connectors
Obsei is an automation tool for text analysis and with various connectors to connect with major social media platforms and issue tracking systems.Recently I have prepared demo video of Obsei.
What are some alternatives?
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
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 !
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
entity-sentiment-analysis - Various ops for handling several entities in a document, perform anaphora resolution, clustering, etc.
ToolJet - Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀
ERNIE - Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
YALCST - YALCST is a GITHUB ACTION to sync LeetCode submissions into GITHUB REPO automatically, written in Python.
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
shifterator - Interpretable data visualizations for understanding how texts differ at the word level