Improved Deep Learning Model for Aspect Words Extraction
Ganpat Singh Chauhan, Ravi Nahta, Yogesh Kumar Meena · 2023
Deep learning has recently been successful in numerous academic areas, including social network filtering, image processing, machine translation, and text mining. There is a lot of user-generated content available on various social media sites. that can be used for precise opinion analysis of the shifting market dynamics. Aspect word extraction (AWE) task detects the targets of user opinions from the text in aspect-level sentiment analysis (ABSA). The majority of aspect retrieval methods depend on a certain domain or context. Additionally, it is difficult to identify the most pertinent aspect phrases that are domain-specific because there is a deficiency of topic and situational knowledge. The current methods fail to extract some useful aspect terms because they are unable to identify noun phrase dependencies over time. In order to enhance the AWE challenge, this research suggests a combined language patterns with deep learning methods. On typical review datasets, results from studies and experiments are examined for many kinds of aspects.