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