For example, the Richmond (Va.) Police Department recently investigated a series of robberies during which victims were directed to lie on the ground. A pattern emerged in the phrase the robber used when addressing victims. Investigators searched on the phrase using a pilot version of text analysis software and connected a series of incidents that helped police establish the suspect’s modus operandi, leading to his arrest.

And in North Carolina, police are using content analytics to better distinguish between the good guys and the bad guys to protect themselves and improve investigations.


http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.5533

cross cultural exploration using sentiment analysis
http://www3.cs.stonybrook.edu/~skiena/lydia/intsenti.pdf


Mental state analysis
http://www.cs.cmu.edu/~listen/pdfs/Chen_IWCS8.pdf

sentiment analysis
http://cgi.cse.unsw.edu.au/~handbookofnlp/index.php?n=Chapter28.Chapter28

text mining some legal aspects
http://www.lrec-conf.org/proceedings/lrec2014/pdf/452_Paper.pdf

estimating sentiment in arabic social media content
http://www.citala.org/papers/paper_53.pdf

police usage of text mining case studies
http://www.megaputer.com/down/dm/white_papers/crime_pattern_case.pdf

detection of domestic violence through text parsing
https://lirias.kuleuven.be/bitstream/123456789/241772/1/ICEI

predicting deviant behaviour of teenagers by text mining
http://www.ifets.info/journals/16_1/26.pdf

crime pattern analysing by text mining
http://www.megaputer.com/down/dm/white_papers/crime_pattern_case.pdf

http://newpolcom.rhul.ac.uk/storage/working-papers/RHUL_NPCU_Working_Paper_Ampofo_Collister_OLoughlin_Chadwick_Text_Mining_Social_Media.pdf

pattern analysing of crime narratives
http://www.geog.uni-heidelberg.de/md/chemgeo/geog/lehrstuehle/gis/helbich_etal_2013.pdf