27.5046, Software: Computational Linguistics; Discourse Analysis; Semantics; Text/Corpus Linguistics: Lingmotif 1.0

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LINGUIST List: Vol-27-5046. Fri Dec 09 2016. ISSN: 1069 - 4875.

Subject: 27.5046, Software:  Computational Linguistics; Discourse Analysis; Semantics; Text/Corpus Linguistics: Lingmotif 1.0

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Date: Fri, 09 Dec 2016 11:36:54
From: Antonio Moreno Ortiz [amo at uma.es]
Subject: Computational Linguistics; Discourse Analysis; Semantics; Text/Corpus Linguistics: Lingmotif 1.0

 
Lingmotif: Sentiment Analysis for the Digital Humanities

We are excited to announce Lingmotif 1.0, a lexicon-based,
linguistically-motivated, user-friendly, Sentiment Analysis desktop
application.

Unlike most Sentiment Analysis software, Lingmotif is not just a classifier,
but a multi-purpose content analysis tool that can be helpful in any task
where the verbal expression of semantic orientation is relevant.

Lingmotif can analyze any type of input texts, regardless of their length and
topic. It allows you to classify large collections of tweets ot other short
texts, easily compare the sentiment in several texts, or analyze ordered sets
of texts, such as time series. The analysis is based on the identification of
sentiment-laden words and phrases contained in the application's rich core
lexicons, and is able to account for sentiment shifting by context. It offers
easy-to-interpret visual representations of quantitative data (text polarity,
sentiment intensity, sentiment profile), as well as a detailed, qualitative
analysis of the text in terms of its sentiment. The identified text segments
are clearly displayed, allowing you to know exactly what the analysis found.
Lingmotif can also take user-provided plugin lexicons in order to deal with
domain-specific sentiment expression. 

Lingmotif 1.0 analyzes English and Spanish texts. Version 2 will add support
for German, French, and Italian. Lingmotif thus aims to become a
general-purpose Sentiment Analysis tool for the Digital Humanities.

Lingmotif is available as a desktop application for the Windows, Mac OS, and
Linux platforms, and is free for non-commercial uses.

Please visit http://tecnolengua.uma.es/lingmotif for further information and
downloads.

Best regards,
Antonio Moreno Ortiz
Tecnolengua Group
University of Malaga, Spain.


Linguistic Field(s): Computational Linguistics
                     Discourse Analysis
                     Semantics
                     Text/Corpus Linguistics

Subject Language(s): English (eng)
                     Spanish (spa)



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