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Sentiment analysis --- Machine learning --- Analysis, Sentiment --- Extraction, Opinion --- Mining, Opinion --- Mining, Sentiment --- Opinion extraction --- Opinion mining --- Sentiment mining --- Computational linguistics --- Data mining
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Sentiment analysis has gained widespread adoption in many fields, but not-until now-in literary studies. Scholars have lacked a robust methodology that adapts the tool to the skills and questions central to literary scholars. Also lacking has been quantitative data to help the scholar choose between the many models. Which model is best for which narrative, and why? By comparing over three dozen models, including the latest Deep Learning AI, the author details how to choose the correct model-or set of models-depending on the unique affective fingerprint of a narrative. The author also demonstrates how to combine a clustered close reading of textual cruxes in order to interpret a narrative. By analyzing a diverse and cross-cultural range of texts in a series of case studies, the Element highlights new insights into the many shapes of stories.
Criticism --- Sentiment analysis. --- Data processing. --- Analysis, Sentiment --- Extraction, Opinion --- Mining, Opinion --- Mining, Sentiment --- Opinion extraction --- Opinion mining --- Sentiment mining --- Computational linguistics --- Data mining --- Evaluation of literature --- Literary criticism --- Literature --- Rhetoric --- Aesthetics --- Technique --- Evaluation
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Sentiment analysis has gained widespread adoption in many fields, but not-until now-in literary studies. Scholars have lacked a robust methodology that adapts the tool to the skills and questions central to literary scholars. Also lacking has been quantitative data to help the scholar choose between the many models. Which model is best for which narrative, and why? By comparing over three dozen models, including the latest Deep Learning AI, the author details how to choose the correct model-or set of models-depending on the unique affective fingerprint of a narrative. The author also demonstrates how to combine a clustered close reading of textual cruxes in order to interpret a narrative. By analyzing a diverse and cross-cultural range of texts in a series of case studies, the Element highlights new insights into the many shapes of stories.
Criticism --- Sentiment analysis --- Computational linguistics --- Data mining --- Analysis, Sentiment --- Extraction, Opinion --- Mining, Opinion --- Mining, Sentiment --- Opinion extraction --- Opinion mining --- Sentiment mining --- Literature --- Rhetoric --- Aesthetics --- Evaluation of literature --- Literary criticism --- Data processing --- Technique --- Evaluation
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This Element provides a basic introduction to sentiment analysis, aimed at helping students and professionals in corpus linguistics to understand what sentiment analysis is, how it is conducted, and where it can be applied. It begins with a definition of sentiment analysis and a discussion of the domains where sentiment analysis is conducted and used the most. Then, it introduces two main methods that are commonly used in sentiment analysis known as "supervised machine-learning" and "unsupervised learning (or lexicon-based)" methods, followed by a step-by-step explanation about how to perform sentiment analysis with R. The Element then provides two detailed examples or cases of sentiment and emotion analysis, with one using an unsupervised method and the other using a supervised learning method.
Natural language processing (Computer science) --- Computational linguistics. --- Sentiment analysis. --- Analysis, Sentiment --- Extraction, Opinion --- Mining, Opinion --- Mining, Sentiment --- Opinion extraction --- Opinion mining --- Sentiment mining --- Computational linguistics --- Data mining --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data processing
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Devoted to research and scholarship in digital editions of texts, digital libraries; digital archives and memory; examination and analysis of multimedia resources; text mining and data mining, stylometry, topic modeling, sentiment analysis; georeferencing, maps, visualization tools ; corpus linguistics, Natural Language Processing (NLP) ; digital media, digitization, curatorship and preservation of digital objects.
digital humanities --- computing technologies --- digital technologies --- Electronic journals --- Humanities --- Digital libraries --- Text data mining --- Sentiment analysis --- Corpora (Linguistics) --- Natural language processing (Computer science) --- Digital preservation --- Periodicals --- Spain --- digital archives --- digital media --- digitization --- Text analysis (Data mining) --- Text analytics --- Text mining --- Computational linguistics --- Data mining --- Digital curation --- Digital media collections --- Digital media libraries --- Digital repositories --- Electronic libraries --- Electronic publication collections --- Electronic publication libraries --- Electronic text collections --- Repositories, Digital --- Virtual libraries --- Libraries --- Information storage and retrieval systems --- Web archives --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Analysis, Sentiment --- Extraction, Opinion --- Mining, Opinion --- Mining, Sentiment --- Opinion extraction --- Opinion mining --- Sentiment mining --- Cyber journals --- Cyber magazines --- Cyber periodicals --- Cyber serials --- E-journals --- Ejournals --- Electronic magazines --- Electronic periodicals --- Electronic serials --- Internet journals (Electronic publications) --- Internet magazines (Electronic publications) --- Internet periodicals (Electronic publications) --- Internet serials (Electronic publications) --- Online journals --- Online magazines --- Online periodicals --- Online serials --- Periodicals in machine-readable form --- Web journals (Electronic publications) --- Web magazines (Electronic publications) --- Web periodicals (Electronic publications) --- Web serials (Electronic publications) --- World Wide Web journals (Electronic publications) --- World Wide Web magazines (Electronic publications) --- World Wide Web periodicals (Electronic publications) --- World Wide Web serials (Electronic publications) --- Electronic publications --- Espagne --- Espainiako Erresuma --- España --- Espanha --- Espanja --- Espanya --- Estado Español --- Hispania --- Hiszpania --- Isupania --- Kingdom of Spain --- Regne d'Espanya --- Reiaume d'Espanha --- Reino de España --- Reino d'Espanya --- Reinu d'España --- Sefarad --- Sepharad --- Shpanie --- Shpanye --- Spanien --- Spanish State --- Supein --- Spain. --- Electronic journals. --- Digital libraries. --- Text data mining. --- Sentiment analysis. --- Periodicals.
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