Development and Evaluation of Tagalog Linguistic Inquiry and Word Count (LIWC) Dictionaries for Negative and Positive Emotion

Abstract

As the use of online and social media increases globally, the need for sentiment analysis tools in multiple languages is critical in order to understand and analyze the vast amount of data that may contain users feelings, perceptions, and beliefs. Users from different countries convey their messages in various languages, which may convey different sentiments and cultural connotations. Developing non-English sentiment analysis tools can ensure that data is not lost due to language. A proof-of-concept Tagalog Linguistic Inquiry and Word Count (LIWC) dictionary for positive and negative emotion was developed for use in analyzing mixed language Twitter data from the Philippines and evaluated against human annotated sentiment for Twitter, referred to as groundtruth.

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Document Details

Document Type
Technical Report
Publication Date
Dec 23, 2014
Accession Number
AD1108440

Entities

People

  • Amanda L. Andrei

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Mining
  • Dictionaries
  • Disaster Management
  • Disasters
  • Internet
  • Language
  • Mathematical Models
  • Natural Disasters
  • Natural Language Processing
  • Natural Languages
  • Online Communications
  • Precision
  • Social Media
  • Social Psychology
  • Terrorism
  • Test And Evaluation
  • United States

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics