Text Analytics: Advances and ChallengesDomenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing. |
Contents
| 3 | |
| 16 | |
Studying Narrative Flows by Text Analysis and Network Text Analysis | 29 |
From Statistics to Deep Learning | 41 |
The Case of the Big Bang Theory | 55 |
A Conversation Analysis of Interactions in Personal Finance Forums | 65 |
Dictionaries and Specific Languages | 75 |
The Italian Accounting Jurisdiction Case | 76 |
LBC Corpora A Tool for Bilingual Lexicographic Writing | 167 |
The Conditional Perfect A Quantitative Analysis in EnglishFrench ComparableParallel Corpora | 179 |
Repeated and Anaphoric Segments Applied to Trilingual Knowledge Extraction | 198 |
Applications | 212 |
A Brief Review | 213 |
Where Are the Social Sciences Going to? The Case of the EUFunded SSH Research Projects | 225 |
The Case of the National University of Colombia | 241 |
Analyzing Occupational Safety Culture Through Mass Media Monitoring | 252 |
Comparing VoBIS and NVdB | 91 |
An Invariant or a Contextual Relationship? | 100 |
Preliminary Results on Judgments | 117 |
Using the First Axis of a Correspondence Analysis as an Analytic Tool | 127 |
What Can Correspondence Analysis Tell Us About Genre and Diachronic Variation? | 145 |
Multilingual Text Analysis | 158 |
How to Think About Finding a Sign for a Multilingual and Multimodal FrenchWrittenFrench Sign Language Platform? | 161 |
What Volunteers Do? A Textual Analysis of Voluntary Activities in the Italian Context | 265 |
Free Text Analysis in Electronic Clinical Documentation | 277 |
A Text Mining Approach | 287 |
| 299 | |
| 301 | |
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Text Analytics: Advances and Challenges Domenica Fioredistella Iezzi,Damon Mayaffre,Michelangelo Misuraca No preview available - 2020 |
Common terms and phrases
adjacency matrix algorithm anaphors approach areas association automatic characters cluster co-occurrence Colombia conditional perfect connectors context corpora corpus Corpus linguistics correspondence analysis culture D. F. Iezzi Data Analysis database dataset deep learning detect dictionaries discourse document-term matrix documents dominance E-ADVs economic emotional EtrF European factor forms French frequency genres graph identify Istat Italian keywords Knowledge Organization Latent Dirichlet Allocation latent semantic analysis Lebart lemmas lexical linguistic mass media matrix method methodology modal multilingual natural language nodes non-dense occurrences orality represent sciences scientific semantic social network speakers speaking lines specific Springer Nature Switzerland stems structure Studies in Classification subcorpora Switzerland AG 2020 Table tags techniques term-document matrix text analysis text mining textual data tf-idf thematic topic modeling translation Twitter unal variables verbs vocabulary volunteering Zipf’s law