Sherlock maintains and monitors a list of 50 Senators.
Currently 49 on a list we curate
Sherlock can exploit a geographical filter which returns Tweets sent from within a user defined circle anywhere on the planet. We tried an open-ended poll across each constituency on mainland Britain. Here's an interactive map with the results.
People's Vote groups in Gloucester and Cheltenham want to lobby their MPs, and call in Sherlock for objective analysis of their Tweets. Constructive dialogue is their goal, so understanding the changing concerns of Richard Graham and Alex Chalk provides a clear advantage.
Sherlock finds the common interests that bind groups together, and needs no further information than the words written. It doesn't need, use, or store private data. Privacy is baked into the design.
If an earthquake occurs, or a new political sensation invades the press, new names will baffle supervised text-mining techniques. Sherlock works from a list of what to ignore, so new stuff gets handled automatically, just so long as it is frequent.
Sherlock has been tried on more than thirty languages, including Arabic and Russian. It is completely grammar agnostic, and will work on any language, human or computer, for which a stop word list can be provided.
Sherlock tries to be as autonomous as possible, requiring just two parameters, how robust the patterns need to be. and how many words will be enough. For example, the survey takes 75% pattern confidence, and 20 words
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