Suggestion Mining from Opinionated Text

Aspect Oriented Suggestion Extraction from Online Reviews

In the world of business, products need to evolve adjusting to the needs of the customer to ensure customer satisfaction. The abundance of opinionated text on the internet contains suggestions made by users that can be u…

A Study of Suggestions in Opinionated Texts and their Automatic Detection

Incremental Active Opinion Learning Over a Stream of Opinionated Documents

Applications that learn from opinionated documents, like tweets or product reviews, face two challenges. First, the opinionated documents constitute an evolving stream, where both the author's attitude and the vocabulary…

Open Domain Suggestion Mining: Problem Definition and Datasets

We propose a formal definition for the task of suggestion mining in the context of a wide range of open domain applications. Human perception of the term \emph{suggestion} is subjective and this effects the preparation o…

Opinion Mining on Non-English Short Text

As the type and the number of such venues increase, automated analysis of sentiment on textual resources has become an essential data mining task. In this paper, we investigate the problem of mining opinions on the colle…