ASLGSDJul 27, 2020

Analysis of Emotional Content in Indian Political Speeches

arXiv:2007.13325v1
Originality Synthesis-oriented
AI Analysis

This work addresses how emotional speech analysis can inform political communication strategies in India, but it is incremental as it applies existing methods to a new dataset.

The study analyzed emotional content in speeches of eight Indian politicians using an Attention-based CNN+LSTM network, finding that politicians use emotions to connect with audiences and correlating this with voting share and victory margin.

Emotions play an essential role in public speaking. The emotional content of speech has the power to influence minds. As such, we present an analysis of the emotional content of politicians speech in the Indian political scenario. We investigate the emotional content present in the speeches of politicians using an Attention based CNN+LSTM network. Experimental evaluations on a dataset of eight Indian politicians shows how politicians incorporate emotions in their speeches to strike a chord with the masses. An analysis of the voting share received along with victory margin and their relation to emotional content in speech of the politicians is also presented.

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