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"The series publishes 50- to 150-page publications on topics pertaining to data mining, web mining, text mining, and knowledge discovery, including tutorials and case studies"

How do we learn the meaning of text from data? In other words, how can a machine truly understand the phrases that human beings blab into its search fields and microphone? The researchers at Google and elsewhere have settled on an answer to that question: machine learning; specifically, a form of artificial intelligence called neural networks-self-organising systems modelled on the way the brain works.

The TERMINUTER app is an automated cognitive meeting minutes tool, mainly based on speech-to-text technology. The app automatically writes and structures meeting minutes with decisions and to-dos and even alerts you if owners or deadlines are not defined.

Using sophisticated statistical and linguistic algorithms, it pinpoints the key concepts and extracts the most relevant sentences, resulting in a Web site or document summary that is a shorter, condensed version of the original text.

This tool automatically produces abstracts and keywords from text. Useful for knowledge elicitation transcripts etc.

" Useful for producing abstracts and keywords from interview transcripts"

Zoom announced its first flirtation with artificial intelligence in the form of automated meeting transcripts, eliminating the need for a note taker and creating a searchable transcript. Using AI, it converts all the speech from a meeting into text and even identifies each speaker, plus tighter integration with Slack.