Police to arrest people based on ‘Sentiment Analysis’ of their Tweets


Researchers at the University of Salamanca  (USAL) have developed a ‘Sentiment Analysis’ (SA) algorithm that monitorsTwitter and Facebook.

Psychologist, Paul Ekman has worked with the CIA, DOD and DHS for years, helping develop facial emotion detection, click here to read more.  

Our government is also using ‘Emotive Analytics‘ (EA), to arrest and imprison innocent people!

Ekman has provided training to a whole series of people who were guards at Abu Ghraib prison, too, in how to extract information and truth without torture. “They used my [facial analysis] work, and it was very successful,” Ekman said.

It’s only a matter of time, before police use Emotive Analytics to arrest Americans.

What is SA?

SA trains algorithms to extract subjective emotions and feelings from texts. SA is based on the ‘Bayes theorem‘ and ‘Granger causality’.

The Bayes theorem is P(A∣B)=P(B∣A)P(A)P(B). This basically states “the probability of A given that B is true equals the probability of B given that A is true times the probability of A being true, divided by the probability of B being true.”

According to Wikipedia, “the Granger causality test is a statistical hypothesis test for determining whether one time series is useful in forecasting another… Granger also stressed that some studies using “Granger causality” testing in areas outside economics reached “ridiculous” conclusions.”

What they’re really saying is, police will be using junk science to arrest citizens for harboring dangerous sentiments.

Police to detect and arrest people for dangerous sentiments

According to professor Juan Manuel Corchado, law enforcement could use the tool to detect , threats and areas with concentrations of potentially dangerous people. “It’s based both on the semantic analysis of messages and historical data and their evolution.”

SA’s make classification decisions based on probabilities

SA looks for word counts and assigns them a probability. SA’s try to determine if a data row should be classified as negative or positive. SA’s generate word counts for negative and positive tones, that’s it. SA’s aren’t a crystal ball, that tells law enforcement what a person is thinking!

SA’s are rubbish

An article, titled RMP Media Analysis, claims SA’s are rubbish. The article, mentions a couple of reasons to be suspicious of SA’s…

If you substitute ‘law enforcement’ for “public relations and non-profit organizations” you’ll begin to see the picture.

‘Law enforcement’ needs metrics to demonstrate their value to the government and the public. You’re a law enforcement agency. One of your primary stated goals is to increase funding.”

Presently, law enforcement can use SA’s to spy on the sentiments of English, French, German, Russian and Arabic speaking people. SA’s claim to see changes in an individuals’ sentiments and physical location while analyzing group interrelationships at the same time.

image credit: BBC

“I hate Twitter, it’s like a state surveillance agency staffed by gullible volunteers” Stewart Lee said.

Police use dangerous sentiments [Tweets] to locate citizens

“It [SA] can establish where a dangerous user is located with reasonable precision, based on what they share on Twitter and how and with whom they are connecting at any time, without the need of geolocating tweets” Corchado claims.

Last week, I warned everyone that police were ranking ‘influential citizens.’

“Influentials” are those individual seen as having importance or the ability to influence an individual’s actions. These can be both positive and negative influences.

Police to influence people and change their sentiments

SA’s can identify members of a group, its leaders and followers. It is also possible to see how relationships evolve and whether new members join a group. In addition, Corchado claims, the tool can try to influence them to change their sentiments.

Cops to use emotion recognition

A company called Emotient, claims they can tell what a person is thinking, based on their attitudes and emotions. “Uses for emotion recognition and analysis are as varied and expansive as the imagination… Wherever there are cameras there can be video analysis of expressions, and an opportunity to learn about the customer’s state of mind as they emotionally respond to marketing, product and service experiences.” (click here to see Emotient’s second video)

Emotient delivers insights in the form of three key performance indicators (KPIs), and detailed data on emotions, for every face in each video frame:

Emotient KPIs

Attention – Is your advertising or product getting noticed?
Engagement – Are people responding emotionally?
Sentiment – Are they showing positive, negative or no emotion?

Microsoft & MIT own Emotive Analytics companies

EA must have a very profitable future, Microsoft and MIT have started two EA companies calledEmotion API and Affectiva. There are numerous companies in the EA business, Emotive AnalyticsEyeris, Kairos and nVISO are some of the many companies making money of a gullible America.

Citizens to be given ‘sentiment’ and ‘social disorder’ ratings

If history is any indicator, citizens everywhere will be given ‘sentiment’ and ‘social disorder’ ratings.

Police in America are already giving citizens ‘social disorder ratings’ The Indianapolis Metropolitan Police Department (IMPD) is using a ‘Social Disorder Index’ (SDI) to determine the level of social disorder a location presents to its surrounding community.

Americans to be labeled as “insider threats”

The Department of Defense  provides a non-exhaustive list of “insider threats,” which include, but are not limited to: “damage to the United States through espionage, terrorism, unauthorized disclosure of national security information, or through the loss or degradation of departmental resources or capabilities.”

Homeland Security is behind SA’s

A video titled, ‘Sentiment Analysis of Social Media Texts‘ reveals the National Research Council, Facebook, Google, and IBM are behind SA’s. Click here, here & here to read about NRC’s close relationship with DHS.

Fyi, Google’s app store has at least five SA apps, GetAbout.Me, SplunkBase, Applause,Sentiment140 and Aylien. A recent TechCrunch article, reveals how SA apps are being used to predict everything from consumer opinions about veggies to stock prices.

Police are giving homes color-coded threat ratings

“The [911] database goes through all public information for the call’s location — from arrest records to pizza deliveries — and gives the address a rating. Green means minimal threat, yellow a possible threat and red a major threat.”

“The RTCC system shows officers three pieces of data: the threat level, the criminal history of anyone living at the home and a list of known friends and family members. This list sometimes includes possible phone numbers and addresses of these associates.”

Applying tone, tonality or sentiment to Tweets and texts, is an exercise in futility and brings us one step closer to a total Police State.

Welcome to the future of American policing, where reality is turned upside down.

image credit: physics central


One thought on “Police to arrest people based on ‘Sentiment Analysis’ of their Tweets

  1. Why do people still use Twitter, Facebook and all of those other social networking sites? I just don’t get it. They know it’s being monitored 24/7, yet they still post their personal info on it like a bunch of gullible idiots and playing the ignorance is strength game.


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