Nature

Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network

The corpus of traditional sentiment analysis mainly consists of coarse-grained texts, which cannot meet the needs of text semantic analysis tasks in reality. A single-user review often encompasses ...
Nature

Sentence-level sentiment analysis based on supervised gradual machine learning

Sentence-level sentiment analysis (SLSA) aims to identify the overall sentiment polarity conveyed in a given sentence. The state-of-the-art performance of SLSA has been achieved by deep learning ...
Forbes

How You Can Get The Most Out Of Sentiment Analysis

Tracking and analyzing sentiments has emerged on the scene alongside countless other automation processes in the last decade. Sentiment analysis has been popular with social media and discovering how ...
CMS Wire

Using Sentiment Analysis and Voice of Customer Data for Insight-Driven CX

Sentiment analysis — a sophisticated tool that interprets the emotional tone behind words, giving brands a lens into how their services or products resonate. Customer feedback is a treasure trove of ...