Dealing with Producing and Consuming Expressions in Italian Sentiment Analysis To perform aspectlevel sentiment analysis, in the context of customer reviews, it is necessary to deal not only with subjective opinions, that are well covered by literature, but also with factimplied opinions, that are less examined since they are less common and harder to handle. This work focuses on a specific type of factbased opinion called producing and consuming expression. For example, expressions like xe2x80x9cthis printer consumes a lot of inkxe2x80x9d and xe2x80x9cthis washingmachine makes a lot of noisexe2x80x9d are instances of this type of opinion. This research aims to build a tool that can identify these expressions, classify their sentiment polarities and determine their opinion targets. To achieve this task, we started analyzing these expressions from a linguistic point of view. Then we developed a set of linguistic resources using the Nooj software. This set consists of one dictionary and one grammar. The dictionary contains verbs that express usage and production; adjectives and determiners that modify quantity, size, etc. and some generic nouns of resources and wastes. The grammar can recognize and tags simple and complex sentences that are producing and consuming expressions. This grammar produces a tag that allows to determine the sentiment of the expression simply by applying the rules of sentiment composition.

Framework for Analysis and Feedback of Evaluation Expressions in Restaurant Reviews This paper proposes a framework of the cycle for writing and analyzing restaurant reviews. Our method is designed to extract evaluation expressions specific to dishes from the descriptions around the names of dishes in restaurant reviews. It is common to use restaurant reviews for choosing restaurants and dishes. The amount of reputation for foods on the Web has been growing. However, it is difficult for a user to read a large amount of information and select a dish that meets the userxe2x80x99s taste. Based on the above background, we believe that some specific expressions evaluating dishes should be easily obtained and given feedback to reviewers; those expressions are reasonable to support the writing and understanding the reviews. We focus on two types of expressions frequently occurred with the name of the dish: common expressions for flavours such as sizzle words, and words related to particular dishes such as cooking methods. Also, the expressions evaluating a dish are acquired by using the dependency analysis and the word importance. In our consideration, the evaluation expression specific to the dish seemed to capture the characteristics of the dish better than just using sizzle words.