Autor/Autorin: Saravanan Sharmila
Dr.Sharmila Saravanan, is working as Associate Professor in Er.Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India. Her interest includes data mining and big data analytics. More specifically she is interested in Opinion Mining. Received M.Sc and MCA from Periyar University, M.Phil and Doctorate from M.S University, Tirunelveli.
A book on opinion mining and its algorithms, the emerging trend of data mining and big data analytics. Author tends to give an introduction to opinion mining, the technology of understanding text, assists people in locating similar opinions from a huge volume of review collections. In the process of opinion mining also called as sentiment analysis, optimization of feature selection techniques becomes mandate to enhance the quality. Thus with the objective of enhancing the sentiment analysis, author had presented investigation results on the various algorithms.
Saravanan, Sharmila
Dr.Sharmila Saravanan, is working as Associate Professor in Er.Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India. Her interest includes data mining and big data analytics. More specifically she is interested in Opinion Mining. Received M.Sc and MCA from Periyar University, M.Phil and Doctorate from M.S University, Tirunelveli.
Über den Autor
Dr.Sharmila Saravanan, is working as Associate Professor in Er.Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India. Her interest includes data mining and big data analytics. More specifically she is interested in Opinion Mining. Received M.Sc and MCA from Periyar University, M.Phil and Doctorate from M.S University, Tirunelveli.
Klappentext
A book on opinion mining and its algorithms, the emerging trend of data mining and big data analytics. Author tends to give an introduction to opinion mining, the technology of understanding text, assists people in locating similar opinions from a huge volume of review collections. In the process of opinion mining also called as sentiment analysis, optimization of feature selection techniques becomes mandate to enhance the quality. Thus with the objective of enhancing the sentiment analysis, author had presented investigation results on the various algorithms.
