The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Sentiment word identification (SWI) is a basic task of sentiment analysis. Traditional techniques become unqualified because they need seed sentiment words which may lead to low robustness. This paper presents an optimization-based framework by incorporating sentiment contextual information instead of seed words. Specifically, we exploit two sentiment phenomena: (1) sentiment matching: polarities...
Sentiment feature selection (SFS) refers to the task of automatically identifying whether a feature contributes to sentiment classification. Most existing researches do not make a distinction between sentiment classification and topical text classification. Actually, the former commonly depends more on features conveying sentiments while the latter depends on features with strong class distinguish-ability...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.