@InProceedings{morenoortiz:2017:EACLDemo,
  author    = {Moreno-Ortiz, Antonio},
  title     = {Lingmotif: Sentiment Analysis for the Digital Humanities},
  booktitle = {Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {73--76},
  abstract  = {Lingmotif is a lexicon-based, linguistically-motivated, user-friendly,
	GUI-enabled, multi-platform, Sentiment Analysis desktop application. Lingmotif
	can perform SA on any type of input texts, regardless of their length and
	topic. The analysis is based on the identification of sentiment-laden words and
	phrases contained in the application's rich core lexicons, and employs context
	rules to account for sentiment shifters. 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. Lingmotif can also take user-provided plugin lexicons
	in order to account for domain-specific sentiment expression. Lingmotif
	currently analyzes English and Spanish texts.},
  url       = {http://aclweb.org/anthology/E17-3019}
}