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ARTICLE : Shlomo Argamon

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2 Research[ edit]
Since the late 1990s, Argamon has worked primarily on computational linguistic analysis of non-denotational meaning, including computational analysis of language stylistics, sentiment analysis, and metaphor analysis. He has also published well-cited research on active learning (machine learning), metalearning, and robotic mapping.

2.1 Computational Stylistics
Argamon is best known for his work on computational stylistics, particularly author profiling. Together with Moshe Koppel and others, he has shown how statistical analysis of word usage can determine an author's age, sex, native language, and personality type with high accuracy in English-language texts. His work has also shown how textual features indicating differences between male and female authorship are consistent between languages and across time.

He has also developed computational stylistic methods that provide insights into the meaning of stylistic differences. One of Argamon's key innovations for this purpose is the development of computational stylistic analysis using systemic functional linguistics. For example, together with Jeff Dodick and Paul Chase, he examined whether there are clear and consistent differences between scientific method in experimental sciences and historical sciences. Their work showed how using systemic functional features in computational stylistic analysis provides evidence for multiple scientific methodologies of the sorts posited previously by philosophers of science.

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Added info (2.1):

Just like Argamon has shown how statistical analysis of word usage can determine someones age, sex and native language he uses his work to show how forensic linguistics can be more useful with cyber security. Forensic linguistics is viewed through its two major components, first one being "Written Language" and the second one being "Spoken Language". Written language is mainly used on transcripts of police interviews with both witnesses and suspects. They examine text materials from criminal messages, terrorist threats or blackmailing messages and translate them from one language to another and then reviewed to help in answering questions about the author if the message. Many different kinds of text materials can be examined, some being notes, phone messages, letters both typed and handwritten as well as text from social medias.

Spoken language is interpreted not by what was said but how the author (the witness or suspect) says it.

Forensic Linguistics as mentioned by Argamon is strongly used to identify the creator of the evidence at hand or the reasoning behind legal disputes. Much can be discovered about the speaker based on his or her linguistics characteristics. Many methods such as acoustic phonetics and aural perceptual can be used to to create a speak profile about a person. Forensic Linguistics is crucial to discover the voice or dialect disguise that criminals attempt to use to hide their identity.

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References:


 * Unmasking Identity: Speaker Profiling for Forensic Linguistic Purposes
 * What is Forensic Linguistics?

Linguistics for Cybersecurity[ edit]
Recently, Argamon has pushed for the increased use of linguistic analysis for attribution of cybersecurity attacks. He has pointed out how linguistic attribution techniques can often be used to good effect on natural language texts that arise in different attack scenarios, and has provided analyses for high-profile cases such as the Sony Pictures hack, the Democratic National Committee cyber attacks, and the Shadow Brokers NSA leak.

Data Science[ edit]
In 2013, Argamon founded the Illinois Institute of Technology Master of Data Science program, which he currently directs. The program seeks to teach students "to think about the real problems that need to be solved, not to simply find technical solutions." Argamon views data scientists as "sensemakers", whose job is not merely to produce analytic results, but to help their clients make sense of a complex, uncertain, and fast-changing world through rigorous analysis and explanation of the data.

Added info

Social Media Presence

Argamon has a very active Twitter account where he tweets (insert hyperlink of account) about linguistics. He tweets linguistic jokes, information about his findings, and also leisure things like current events and popular music/movies. He also has a link to his website in his bio so that people have easy access to it, since it does not come up when his name is typed in a Google (insert hyperlink to Google) search.