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StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
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Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
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Brazilian Portuguese verbal databases ; Bases lexicais verbais do português brasileiro
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In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022)
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Representation learning of natural language and its application to language understanding and generation
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Detecting weak and strong Islamophobic hate speech on social media
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An Empirical Study of Factors Affecting Language-Independent Models
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Using Geolocated Text to Quantify Location in Real Estate Appraisal
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Abstract:
Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania.
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Keyword:
location intelligence; Location Intelligence Research in System Sciences; natural language processing (nlp); real estate appraisal; text regression; wikipedia
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URL: https://doi.org/10.24251/HICSS.2022.700 http://hdl.handle.net/10125/80039
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TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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Modeling Phishing Decision using Instance Based Learning and Natural Language Processing
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What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
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Um método adaptativo para análise sintática do Português Brasileiro. ; An adaptive method for syntactic analysis of Brazilian Portuguese.
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Padovani, Djalma. - : Biblioteca Digital de Teses e Dissertações da USP, 2022. : Universidade de São Paulo, 2022. : Escola Politécnica, 2022
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Multitask Pointer Network for Multi-Representational Parsing
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