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Various Approaches to Aspect-based Sentiment Analysis
The problem of aspect-based sentiment analysis deals with classifying sentiments (negative, neutral, positive) for a given aspect in a sentence. A traditional sentiment classification task involves treating the entire sentence as a text document and classifying sentiments based on all the words.
Bhoi, Amlaan, Joshi, Sandeep
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Theoretical lessons are key for molecules presenting an inverted singlet‐triplet excited state (e.g. S1 and T1) energy difference. This perspective provides a snapshot of the role played by calculations in last years, not only to anticipate experimental findings but also for driving high‐throughput virtual screenings, as well as the main challenge to ...
Ángel José Pérez‐Jiménez+2 more
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Aspect-Level Sentiment Analysis through Aspect-Oriented Features
Aspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts.
Mikail Bin Muhammad Azman Busst+2 more
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Engineering structural distortion in Dion–Jacobson perovskites allows control over optical properties and electronic band structure, unveiling new structure‐property insights. Crystal microwires act as waveguides with strong light‐matter coupling, explaining the double peak emission.
Annalisa Coriolano+14 more
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Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]
Aspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
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Extreme Terahertz Nonlinearity of AlGaN/GaN‐Based Grating‐Gate Plasmonic Crystals
Plasmonic crystals based on grating‐gated 2D electron gas in AlGaN/GaN heterostructures provide a platform for strong light‐matter interaction. Pump‐probe experiments revealed strong terahertz nonlinearity leading to 45% increase in transmission at a fluence below 350 nJ cm−2.
Pavlo Sai+14 more
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A Technical Review of the State-of-the-Art Methods in Aspect-Based Sentiment Analysis
With the advent and rapid advancement of text mining technology, a computer-based approach used to capture sentiment standpoints from data in textual form is increasingly becoming a promising field.
Kabir Kasum Yusuf+3 more
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An optimized fabrication approach for the nanostructuring of optical metasurfaces from van der Waals materials like hexagonal boron nitride is presented. The resonator geometries show enhanced geometric homogeneity, resulting in a significant increase in quality factors of symmetry‐protected bound states in the continuum resonances.
Jonas Biechteler+7 more
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Aspect Based Sentiment Analysis On Review Data
With proliferation of user-generated reviews, new opportunities and challenges arise. The advance of Web technologies allows people to access a large amount of reviews of products and services online. Knowing what others like and dislike becomes increasingly important for their decision making in online shopping.
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A Comprehensive Survey on Aspect Based Sentiment Analysis
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis.
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