gaiapassage.com aims to be an automated, or semi-automated, summarization of the knowledge aggregated from social media by feed bots via the proprietary faceted classifications, or knowledge templates. Right now, I’m doing a semi-automated summarization process with Gaia Passage, which consists of automated research in the form of knowledge silos being “massaged” in different ways, but ultimately manually writing the summarization in natural language. This is allowing me to analyze and attempt to dissect the processes involved in order to gradually prototype automation. Summarization technologies, and in particular summarization APIs, are still in their infancy. Examples of currently available summarization technologies include automatedinsights.com and narrativescience.com. The overall field is often referred to as automatic summarization.
Wikipedia:
References:
- Dissecting the Summarization Process (2013)
- Summarizing Online Conversations: A Machine Learning Approach (2012)
- Automatic Summarization (2011)
- Methods for Mining and Summarizing Text Conversations (2011)
- Proceedings of the Workshop on Automatic Text Summarization 2011
See also:
100 Best Summly Videos | Automatic Summarization & Dialog Systems 2011 | Query Expansion & Dialog Systems | Summarizers & Dialog Systems
- Abstractive Summarization 2018
- Automatic Summarization 2018
- DiaSumm (Dialog Summarizer)
- Extractive Summarization
- GISTexter
- Intellexer
- Neural Summarization
- Rhetorical Structure Tree
- ROUGE (Recall-Oriented Understudy for Gisting Evaluation) 2019
- Sentence Summarization
- Summarization Systems (Summarisation Systems)
- Text Graphs & Natural Language 2019
- Text Summarization 2019
- TXTRACTOR