ABSA presented a submission on the National Qualifications Framework Amendment Bill regarding key matters such as processing times for qualification checks, third-party suppliers, and notification of fraudulent results. They expressed concerns about the verification process timelines and the impact

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This study introduces WEB-SOBA, a method for semi-automatically building ontologies using word embeddings for aspect-based sentiment analysis. With the growing importance of online reviews, the focus is on sentiment mining to extract insights from consumer feedback. The motivation behind the researc

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Growing importance of online reviews highlights the need for automation in sentiment mining. Aspect-Based Sentiment Analysis (ABSA) focuses on detecting sentiments expressed in product reviews, with a specific emphasis on sentence-level analysis. The proposed approach, Deep Contextual Word Embedding

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Speaker Clifford Andrews, Master Scheduler at Absa Bank, shares insights on implementing PPM Online and Microsoft Project Systems. Learn about key settings and data export/import processes between Microsoft Project and Excel for efficient project management.

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Motivated by the increasing number of online product reviews, this research explores automation in sentiment mining through Aspect-Based Sentiment Analysis (ABSA). The focus is on sentiment detection for aspects at the review level, using a hybrid approach that combines ontology-based reasoning and

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Building on the need for automation due to the increasing volume and significance of online reviews, SASOBUS focuses on Aspect-Based Sentiment Analysis (ABSA). The motivation behind SASOBUS lies in the growth of sentiment mining for product reviews, particularly at the sentence level. Its approach i

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