• Main Navigation
  • Main Content
  • Sidebar

Russian Digital Libraries Journal

  • Home
  • About
    • About the Journal
    • Aims and Scopes
    • Themes
    • Editor-in-Chief
    • Editorial Team
    • Submissions
    • Open Access Statement
    • Privacy Statement
    • Contact
  • Current
  • Archives
  • Register
  • Login
  • Search
Published since 1998
ISSN 1562-5419
16+
Language
  • Русский
  • English

Search

Advanced filters

Search Results

Automatic sentiment analysis towards the entity and its characteristics

Наталья Валентиновна Лукашевич
88-119
Abstract: The paper considers approaches to sentiment analysis towards a specific entity and its characteristics (aspects). To solve the aspect-oriented sentiment analysis task, it is necessary to extract aspect terms from texts, to classify or cluster aspect terms into aspect categories, to determine the sentiment expressed towards the specfic aspect. The paper also briefly presents SentiRuEval-2015 evaluation of aspect-oriented sentiment analysis systems in Russian.
Keywords: sentiment analysis, machine learning, topic modeling, sentiment lexicon, SentiRuEval.

From the originator

Наталья Валентиновна Лукашевич
86-87
Abstract: -
1 - 2 of 2 items
Information
  • For Readers
  • For Authors
  • For Librarians
Make a Submission
Current Issue
  • Atom logo
  • RSS2 logo
  • RSS1 logo

Russian Digital Libraries Journal

ISSN 1562-5419

Information

  • About the Journal
  • Aims and Scopes
  • Themes
  • Author Guidelines
  • Submissions
  • Privacy Statement
  • Contact
  • eLIBRARY.RU
  • dblp computer science bibliography

Send a manuscript

Authors need to register with the journal prior to submitting or, if already registered, can simply log in and begin the five-step process.

Make a Submission
About this Publishing System

© 2015-2025 Kazan Federal University; Institute of the Information Society