Semantic Scholar Open Access 2018 1836 sitasi

Deep learning for sentiment analysis: A survey

Lei Zhang Shuai Wang B. Liu

Lihat Sumber DOI

Abstrak

Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state‐of‐the‐art prediction results. Along with the success of deep learning in many application domains, deep learning is also used in sentiment analysis in recent years. This paper gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (3)

Lei Zhang

Shuai Wang

B. Liu

Format Sitasi

APA MLA BibTeX

Zhang, L., Wang, S., Liu, B. (2018). Deep learning for sentiment analysis: A survey. https://doi.org/10.1002/widm.1253

Akses Cepat

Lihat di Sumber doi.org/10.1002/widm.1253

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 1836×
Sumber Database: Semantic Scholar
DOI: 10.1002/widm.1253
Akses: Open Access ✓