gsitk is used in several publications. The Word2VecFeatures and Evaluation methods are used extensively in:

Oscar Araque, Ignacio Corcuera-Platas, J. Fernando Sánchez-Rada, Carlos A. Iglesias. Enhancing deep learning sentiment analysis with ensemble techniques in social applications, Expert Systems with Applications, Volume 77, 2017, Pages 236-246, ISSN 0957-4174.

The SIMON model is proposed and evaluated in:

Oscar Araque, Ganggao Zhu, Carlos A. Iglesias. A semantic similarity-based perspective of affect lexicons for sentiment analysis, Knowledge-Based Systems, Volume 165, 2019, Pages 346-359, ISSN 0950-7051.

The SIMON model is used for other NLP domains: radicalization dectection and moral value estimation.

Oscar Araque and Carlos A. Iglesias, An Approach for Radicalization Detection Based on Emotion Signals and Semantic Similarity, in IEEE Access, vol. 8, pp. 17877-17891, 2020.

Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri. MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction, Knowledge-Based Systems, Volume 191, 2020, 105184, ISSN 0950-7051,

The embedding trick method is presented and evaluation in:

O. Araque, L. Gatti, J. Staiano and M. Guerini. DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques, in IEEE Transactions on Affective Computing,