ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management

نویسندگان

  • Minoru Yoshida
  • Shin Matsushima
  • Shingo Ono
  • Issei Sato
  • Hiroshi Nakagawa
چکیده

This paper describes our system, called ITC-UT, for the task-2 (on-line reputation management task) in WePS-3. Our idea is to categorize each query into 3 or 4 classes according to how much the tweets retrieved by the query contain the “true” entity names that refer to the target entity, and then categorize each tweet by the rules defined for each class of queries. We show the evaluation results for our system along with the details of results of query categorization.

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

LIA@Replab 2014

In this paper, we present the participation of the Laboratoire Informatique d’Avignon (LIA) to RepLab 2014 edition [2]. RepLab is an evaluation campaign for Online Reputation Management Systems. LIA has produced an important number of experiments for every tasks of the campaign: Reputation Dimensions and both Author Categorization and Author Ranking sub-tasks from Author Profiling. Our approach...

متن کامل

Linguistically Informed Tweet Categorization for Online Reputation Management

Determining relevant content automatically is a challenging task for any aggregation system. In the business intelligence domain, particularly in the application area of Online Reputation Management, it may be desirable to label tweets as either customer comments which deserve rapid attention or tweets from industry experts or sources regarding the higher-level operations of a particular entity...

متن کامل

QEA: A New Systematic and Comprehensive Classification of Query Expansion Approaches

A major problem in information retrieval is the difficulty to define the information needs of user and on the other hand, when user offers your query there is a vast amount of information to retrieval. Different methods , therefore, have been suggested for query expansion which concerned with reconfiguring of query by increasing efficiency and improving the criterion accuracy in the information...

متن کامل

Instance-based Learning for Tweet Categorization in CLEF RepLab 2014

BiTeM/SIBtex is a university research group with a strong background in Text Mining and Bibliomics, and a long tradition of participating in large evaluation campaigns. The CLEF RepLab 2014 Track was the occasion to integrate several local tools into a complete system for tweet monitoring and categorization based on instance-based learning. The algorithm we implemented was a k Nearest Neighbors...

متن کامل

Functional connections between visual areas in extracting object features critical for a visual categorization task

The ability to group visual stimuli into meaningful categories is a fundamental cognitive process. Several experiments have been made to investigate the neural mechanism of visual categorization task. Although experimental evidence is known that prefrontal cortex (PFC) and inferior temporal cortex (ITC) sensitively respond in categorization task, little is known about the functional role of int...

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 2010