Abstract We introduce the R everse S patial Top-k K eyword (RSK) query, which is defined as: given a query term q, an integer k and neighborhood size find all neighborhoods of that where q in top-k most frequent terms among social posts those . An obvious approach would be to partition dataset with uniform grid structure cell identify cells this keywords. However, answer incomplete since it onl...

Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams and has become a fast-growing technology thanks to paradigm shift introduced by deep learning few years ago. This allowed rapid embedding KWS myriad small electronic devices different purposes like activation voice assistants. Prospects suggest sustained growth terms social use this technology. Thus, it is ...

Search strategy Notes: /su = subheading surgery TERM/ = Thesaurus term exp TERM/ = Thesaurus term exploded to include narrower terms tonsil* = keyword root. Will find all instances of the root with any number of letters following keyword ADJ keyword = one keyword ADJACENT to another in any order keyword ADJ2 keyword = one keyword within 2 terms of another in any order NB words such as if, but, ...

Keyword search is the most popular querying technique on semistructured data. Keyword queries are simple and convenient. However, as a consequence of their imprecision, there is usually a huge number of candidate results of which only very few match the user’s intent. Unfortunately, the existing semantics for keyword queries are ad-hoc and they generally fail to “guess” the user intent. Therefo...