DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining

نویسندگان

  • Mauro Dragoni
  • Andrea Tettamanzi
  • Célia da Costa Pereira
چکیده

Opinion Mining is a topic which attracted a lot of interest in the last years. By observing the literature, it is often hard to replicate system evaluation due to the unavailability of the data used for the evaluation or to the lack of details about the protocol used in the campaign. In this paper, we propose an evaluation protocol, called DRANZIERA, composed of a multi-domain dataset and guidelines allowing both to evaluate opinion mining systems in different contexts (Closed, Semi-Open, and Open) and to compare them to each other and to a number of baselines.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

متن کامل

Domain Adaptation for Opinion Mining: A Study of Multipolarity Words

Expression of opinion depends on the domain. For instance, some words, called here multi-polarity words, have different polarities across domain. Therefore, a classifier trained on one domain and tested on another one will not perform well without adaptation. This article presents a study of the influence of these multi-polarity words on domain adaptation for automatic opinion classification. W...

متن کامل

Feature extraction in opinion mining through Persian reviews

Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...

متن کامل

Using Machine Learning Techniques for Subjectivity Analysis based on Lexical and Non-lexical Features

Machine learning techniques have been used to address various problems and classification of documents is one of the main applications of such techniques. Opinion mining has emerged as an active research domain due to its wide range of applications such as multi-document summarization, opinion mining of documents and users’ reviews analysis improving answers of opinion questions in forums. Exis...

متن کامل

Multi-lingual opinion mining on YouTube

In order to successfully apply opinion mining (OM) to the large amounts of usergenerated content produced every day, we need robust models that can handle the noisy input well yet can easily be adapted to a new domain or language. We here focus on Opinion Mining for YouTube by (i) modeling classifiers that predict the type of a comment and its polarity, while distinguishing whether the polarity...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016