Buch, Englisch, Band 5, 196 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3539 g
Reihe: Socio-Affective Computing
Buch, Englisch, Band 5, 196 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3539 g
Reihe: Socio-Affective Computing
ISBN: 978-3-319-85648-3
Verlag: Springer International Publishing
Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society,business and future researches as well.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion User Interface Design & Benutzerfreundlichkeit
- Geisteswissenschaften Design Interface Design, Interaktionsdesign, Application Design
- Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
Weitere Infos & Material
Preface.- Affective Computing and Sentiment Analysis.- Many Facets of Sentiment Analysis .- Reflections on Sentiment/Opinion Analysis .- Challenges in Sentiment Analysis.- Sentiment Resources: Lexicons and Datasets.- Generative Models for Sentiment Analysis and Opinion Mining.- Social Media Summarization.- Deception Detection and Opinion Spam .- Concept-Level Sentiment Analysis with SenticNet.- Index.
