all AI news
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning
March 27, 2024, 4:48 a.m. | Gaurav Negi, Rajdeep Sarkar, Omnia Zayed, Paul Buitelaar
cs.CL updates on arXiv.org arxiv.org
Abstract: Aspect-Based Sentiment Analysis (ABSA) aims to identify terms or multiword expressions (MWEs) on which sentiments are expressed and the sentiment polarities associated with them. The development of supervised models has been at the forefront of research in this area. However, training these models requires the availability of manually annotated datasets which is both expensive and time-consuming. Furthermore, the available annotated datasets are tailored to a specific domain, language, and text type. In this work, we …
abstract analysis arxiv cs.cl development however hybrid hybrid approach identify research sentiment sentiment analysis terms them training transfer transfer learning type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
Customer Data Analyst with Spanish
@ Michelin | Voluntari
HC Data Analyst - Senior
@ Leidos | 1662 Intelligence Community Campus - Bethesda MD
Healthcare Research & Data Analyst- Infectious, Niche, Rare Disease
@ Clarivate | Remote (121- Massachusetts)
Data Analyst (maternity leave cover)
@ Clarivate | R155-Belgrade
Sales Enablement Data Analyst (Remote)
@ CrowdStrike | USA TX Remote