Note: There are major breaking changes are on the way. Please use released version instead of master branch. To track progress of next release refer Release Progress.
Obsei is intended to be a workflow automation tool for text segmentation need. Obsei consist of -
- OBserver, observes platform like Twitter, Facebook, App Stores, Google reviews, Amazon reviews and feed that information to,
- SEgmenter, which perform text classification and sentiment analysis and feed that information to,
- Informer, which send it to ticketing system, data store or other places for further action and analysis.
Current flow -
A future concept (Coming Soon! 🙂)
Upcoming release plan and progress can be tracked at link (Suggestions are welcome).
Discussion about Obsei can be done at community forum
For detailed installation instructions, usages and example refer documentation.
Obsei use cases are following, but not limited to -
- Automatic customer issue ticketing based on sentiment analysis
- Proper tagging of ticket like login issue, signup issue, delivery issue etc for faster disposal
- Checking effectiveness of social media marketing campaign
- Extraction of deeper insight from feedbacks on various platforms
- Research purpose
Refer link for attribution.
Currently, we are not accepting any pull requests. If you want a feature or something doesn't work, please create an issue.
If you use obsei in your research please use the following BibTeX entry:
@Misc{Pagaria2020Obsei,
author = {Lalit Pagaria},
title = {Obsei - A workflow automation tool for text segmentation need},
howpublished = {Github},
year = {2020},
url = {https://github.com/lalitpagaria/obsei}
}
We would like to thank DailyGet for continuous support and encouragement. Please check DailyGet out. it is a platform which can easily be configured to solve any business process automation requirements.