Part I Statistical methods for Textual Data Analysis.- Statistical and deep learning methods for a linguistic and literary analysis.- Statistical profiling of Hybrid CNN-SVM effectiveness.- EMOtivo: a classifier for emotion detection of Italian texts trained on a self-labelled corpus.- Community detection and semantic analysis on Twitter. The case of No greenpass and No vax movement in Italy.- Evaluating customer satisfaction through Amazon reviews analysis: the Bluetooth earphones example.- Symmetric Non-Negative Matrix Factorization for analysing the scientific production on day surgery.
- Social Media Effects on Sales: consumer sentiment in a state-space model.- Part II Advances in language processing.- Quality enhancements in experimental statistics: the Italian Social Mood on Economy Index.- A Strategy to Identify the Peculiarity of a Lexicon in the Analysis of a Corpus.- Neologisms and estrangement in a corpus of science-fiction.- Automatic retrieving of derived Quechua verbs.- A Stylometric profile of Carmen Mola in the gender of 'her' authorial persona and the contribution of each author behind the pseudonym.- Automatic Genre Classification of Czech Texts Based on Syntactic Functions.
- Deep learning as an aid to text mining in the choice of texts to lemmatise for a comparison corpus: a stylistic study of Peter Damian's letters.- Dialogic Process Analysis in Natural Language Processing: an attempt to describe sense of reality and meaning of textdata.- Multi-channel Convolutional Transformer and intertextuality: a Latin case study.- Part III Emotional and Sentiment Analyses.- Opinion Mining Hybrid Approach. An application to investigate the users' political positions in disinformative echo chambers.- Prediction of Italians' sentiment during the first COVID-19 lockdown through a weighted random forest balanced with SMOTE algorithm.- Sentiment analysis on social network data: the Regional Index RETI.
- Integrating text mining and hermeneutic analysis: the case of international volunteering biographies.- Emotional text mining and multilingual corpora: The analysis of #Covid-19 on Twitter.- Emotional Markers as Indicators of Investor Attitudes: EDA Sub - Process Proposal.- "The Spanish Model": an analysis of Spanish culture in Organ Donation through the Emotional Text Mining.- Part IV Textual Data Analysis in action.- Comparative analysis of national reports: the case of the Erasmus+ ECOLHE Project.- Action Research in Psychology: the case of adoptive family.- Uncovering Uncertainty in Narrative Economics: A Semantic Search Approach.
- Italian Institutional communication in pandemic period: a chronological analysis of Prime Minister speeches.- What about corruption? A text analytics method for a scoping literature review.- The stability of the discursive framework of the Ministry of Foreign Affairs tested by textometry.- Statistical analysis of textual data for longitudinal analysis. A study on postgraduate course participants' reflections.- Third Mission & VQR 2015-2019: A Bigram's Story.