Results 11 to 20 of about 206,976 (163)
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Social Media has revolutionized how individuals, groups, and communities interact. This immense quantity of unstructured data holds valuable information expressed in informal language.
Julia da Rocha Junqueira +6 more
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Enhancing Aspect Extraction for Hindi [PDF]
Proceedings of The 4th Workshop on e-Commerce and NLP, 2021 Aspect extraction is not a well-explored topic in Hindi, with only one corpus having been developed for the task. In this paper, we discuss the merits of the existing corpus in terms of quality, size, sparsity, and performance in aspect extraction tasks using established models.
Arghya Bhattacharya +2 more
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A Joint Model for Extracting Latent Aspects and Their Ratings From Online Employee Reviews
Frontiers in Physics, 2022 The personal description of a company associated with job satisfaction, company culture, and opinions of senior leadership is available on workplace community websites.
Zhuo-Ming Ren +3 more
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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
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Improving aspect-level sentiment analysis with aspect extraction
Neural Computing and Applications, 2020 Aspect-based sentiment analysis (ABSA), a popular research area in NLP, has two distinct parts—aspect extraction (AE) and labelling the aspects with sentiment polarity (ALSA). Although distinct, these two tasks are highly correlated. The work primarily hypothesizes that transferring knowledge from a pre-trained AE model can benefit the performance of ...
Navonil Majumder +4 more
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LISA: Language-Independent Method for Aspect-Based Sentiment Analysis
IEEE Access, 2020 Understanding “what others think” is one of the most eminent pieces of knowledge in the decision-making process required in a wide spectrum of applications. The procedure of obtaining knowledge from each aspect (property) of users' opinions
Mohammadreza Shams +2 more
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Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
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Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
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Aromatics Extraction. 2. Economic Aspects
Chemical Engineering Transactions, 2014 Besides the core-equipment design parameters, investment and operational costs of a separation unit are influenced by the down-stream separation apparatuses design. In case of aromatics liquid-phase extraction, down-stream processing is represented by the extraction solvent regeneration carried out in order to obtain pure products, i.e.
Steltenpohl P., Graczova E.
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IEEE Access, 2023 Sentiment analysis is an active research domain of the current era, thanks to its vast applications. The main objective is to classify the polarity of the given text as negative, positive, or neutral.
Waqas Ahmad +3 more
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