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Towards Sentiment Analysis for Historical Text-Manuscript

Italy’s Docs Towards Sentiment Analysis for Historical Text-Manuscript

This paper presents the integration of Sentiment Analysis in ALCIDE, an online platform for historical content analysis. A prior polarity approach has been applied to a corpus of Italian historical texts and a new lexical resource has been developed with a semi-automatic mapping starting from two English lexica. This paper also reports on a first experiment on contextual polarity using both expert annotators and crowdsourced contributors. The long-term goal of the research is to create a system to support historical studies, which is able to analyze the sentiment in historical texts and to discover the opinion about a topic and its change over time. The paper emphasizes on category of Humanities-Linguistics with digital crowdsourcing contributions.

Type of practice/case Paper/Manuscript
Year of implementation July 2015
Language English
Target Historical texts

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