|
|
|
|
|
Nasir Ayub, Tayyaba, Saddam Hussain, Syed Sajid Ullah and Jawaid Iqbal
Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered that relying solely on the over...
ver más
|
|
|
|
|
|
|
|
|
Dahye Kim, YoungJin Kim and Young-Seob Jeong
We make daily comments on online platforms (e.g., social networks), and such natural language texts often contain sentiment (e.g., positive and negative) for certain aspects (e.g., food and service). If we can automatically extract the aspect-based senti...
ver más
|
|
|
|
|
|
|
|
|
Ho-Min Park and Jae-Hoon Kim
Aspect-based sentiment analysis is a text analysis technique that categorizes data by aspect and identifies the sentiment attributed to each one and a task for a fine-grained sentiment analysis. In order to accurately perform a fine-grained sentiment ana...
ver más
|
|
|
|
|
|
|
|
|
Ziwen Gao, Zhiyi Li, Jiaying Luo and Xiaolin Li
This paper describes the construction a short-text aspect-based sentiment analysis method based on Convolutional Neural Network (CNN) and Bidirectional Gating Recurrent Unit (BiGRU). The hybrid model can fully extract text features, solve the problem of ...
ver más
|
|
|
|
|
|
|
|
|
Noaman M. Ali, Abdullah Alshahrani, Ahmed M. Alghamdi and Boris Novikov
Online customers? opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known...
ver más
|
|
|
|