Scholarlink

The ease of use of social media platforms has enabled everyone to express their feelings, share their experience with products, leading to the creation of massive amounts of data. Analysing, understanding, or even labelling the accumulated data is almost an impossible task to be achieved by a simple program due to the complexity of expressions or understanding the language. This challenge led the researchers to develop tools that will automatically analyse the data and hence help the businesses enhance their products and services based on the analysis of the data collected via different natural language processing techniques. In this paper, a broad introduction is written on sentiment analysis and text generated in social media, the tools used to extract and analyse data, and where such tools can be implemented, and applied specifically to the Kurdish language. The articles covered in this paper were published in the period from 2020–2024.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Comprehensive Review of Sentiment Analysis Approaches and Challenges in Kurdish Social Media Texts

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Fanar Rofoo,
  • Shareef M. Shareef,
  • Polla Fattah

摘要

The ease of use of social media platforms has enabled everyone to express their feelings, share their experience with products, leading to the creation of massive amounts of data. Analysing, understanding, or even labelling the accumulated data is almost an impossible task to be achieved by a simple program due to the complexity of expressions or understanding the language. This challenge led the researchers to develop tools that will automatically analyse the data and hence help the businesses enhance their products and services based on the analysis of the data collected via different natural language processing techniques. In this paper, a broad introduction is written on sentiment analysis and text generated in social media, the tools used to extract and analyse data, and where such tools can be implemented, and applied specifically to the Kurdish language. The articles covered in this paper were published in the period from 2020–2024.