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This paper presents the integration of Sentiment Analysis in ALCIDE, an online platform for historical content analysis.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.

https://academic.oup.com/dsh/article-abstract/31/4/762/2748263?redirectedFrom=fulltext