Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Tyagi, Nemika; Bhushan, Bharat

doi:10.1007/s11277-023-10312-8

Cited by 26 publications

(7 citation statements)

References 237 publications

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“…While ML models, like transformers, are methodological tools in analyzing and understanding human language, they also provide direct solutions to tasks like real-time translation, sentiment analysis, and automated summarization. These applications are not just analytical endeavors but are practical solutions to communication barriers, data interpretation, and information overload [10].…”

Section: Blurring Lines Between Methods and Solutionmentioning

confidence: 99%

Machine Learning - Method or Solution?

Tymoteusz

2023

Scientific Practice: Modern and Classical Research Methods

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This article explores the dualistic nature of machine learning (ML) in scientific research, dissecting its role as both a methodological tool and a direct solution to complex problems. It begins by defining ML and its foundational principles, algorithms, and statistical models. The versatility of ML is highlighted through its applications across various disciplines, such as biology, astrophysics, healthcare, environmental science, and business. The article then delves into the challenges and limitations of ML, including data quality issues, ethical concerns, and the risk of over-reliance on automated decisions. It advocates for the integration of ML with classical research methods to ensure robust and ethical scientific practice. Concluding with future perspectives, the article speculates on the evolving role of ML in advancing both methodology and problem-solving in diverse fields, emphasizing the importance of responsible and effective utilization of ML in scientific research.

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Section: Blurring Lines Between Methods and Solutionmentioning

confidence: 99%

Machine Learning - Method or Solution?

Tymoteusz

2023

Scientific Practice: Modern and Classical Research Methods

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“…Subsequently, text-mining methodologies are employed to distill meaningful information from the data, leveraging Natural Language-Processing (NLP) technologies [8]. NLP constitutes a field of artificial intelligence that facilitates natural language interactions between humans and computers [9]. Its research and development focus on enabling computers to comprehend and generate human languages, with applications spanning Natural Language Understanding (NLU), Natural Language Generation (NLG), Automatic Summarization, Machine Translation, Sentiment Analysis, Question Answering, and Text Classification [10].…”

Section: Theoretical Background and Hypothesis Development 21 Text Mi...mentioning

confidence: 99%

The Impact of a Company’s Management Strategy on Its Profitability, Stability, and Growth: A Focus on the Information Security Industry

Kang,

2024

Sustainability

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This study concentrated on a business report that typically reveals a company’s non-financial information, aiming to uncover its strategic direction. Using text-mining techniques, the research extracted and analyzed the report’s overview sections, identifying key strategic themes categorized into the financial, customer, learning and growth, and internal process perspectives. The empirical analysis applied a two-stage model to assess how shifts in company strategies affect profitability, stability, and growth. This research provided insights into the management strategies and financial metrics within the information security sector, examining how strategic priorities shape financial health. The findings were as follows. Firstly, companies emphasizing financial strategies in their reports tended to exhibit higher profitability. Secondly, those focusing on customer-oriented strategies also reported greater profitability. Thirdly, companies prioritizing internal processes demonstrated increased organizational stability. Fourthly, an emphasis on learning and growth strategies was associated with lower stability but higher growth potential. This paper contributes to the field by offering a method to quantitatively analyze qualitative textual data, providing a more precise approach to understanding management strategies through direct content analysis of business reports. It also highlights the specific financial and strategic characteristics of information security firms, a relatively under-researched area, thereby offering valuable guidance for these companies in terms of strategic planning.

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“…Where AI may improve legislative processes, such as the drafting and development of city-level laws and regulations (Drahmann & Meuwese, 2022). NLP algorithms can be used to examine and interpret legal texts, assisting regulators in identifying inconsistencies, redundancies, or potential regulatory conflicts (Tyagi & Bhushan, 2023). AI technologies can also give lawmakers with guidance and automated writing assistance, ensuring that law wording is clear, coherent, and effective.…”

Section: Ai Application For Smart Urban-lawmentioning

confidence: 99%

Menjelajahi Adopsi Kecerdasan Buatan Untuk Hukum Perkotaan Cerdas: Sebuah Penelitian Awal

Pamungkas,

Sutrisno,

Yusuf

2023

JSRD

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Urbanisasi mendorong pertumbuhan ekonomi, dibantu oleh teknologi dan layanan digital. Kota memiliki karakteristik sosial, spasial, budaya, strategis, dan ekonomi di luar populasinya. Kota ini lebih dari sekadar tempat untuk kerja lapangan; itu menjadi subjek studi tentang bagaimana kehidupan perkotaan diciptakan, diatur, dan dialami. Hukum perkotaan adalah bidang sosio-hukum baru yang meneliti bagaimana kota membuat peraturan. Mengatur sebuah kota memerlukan lingkungan institusi dan kelompok pemangku kepentingan yang rumit dengan beragam kepentingan. Kota membutuhkan tata kelola yang cerdas untuk menghubungkan semua kekuatan, berbagi informasi, dan mempromosikan keberlanjutan sosial ekonomi dan lingkungan. Keterlibatan digital dengan publik telah menyebabkan pemerintah kota menggunakan teknologi digital dan crowdsourcing dalam proses pembuatan undang-undang. Artikel ini membahas bagaimana AI dapat membantu pemerintah kota meningkatkan hukum perkotaan melalui crowdsourcing. Studi ini mengumpulkan data dari Dimensions.ai. Ilmu Digital memperkenalkan Dimensions.ai pada Januari 2018. Temuan dari dapat membantu menghubungkan hukum perkotaan menggunakan AI dan crowdsourcing untuk menciptakan peraturan kota yang lebih partisipatif dan berkualitas tinggi.

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Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Cited by 26 publications

References 237 publications

Machine Learning - Method or Solution?

Machine Learning - Method or Solution?

The Impact of a Company’s Management Strategy on Its Profitability, Stability, and Growth: A Focus on the Information Security Industry

Menjelajahi Adopsi Kecerdasan Buatan Untuk Hukum Perkotaan Cerdas: Sebuah Penelitian Awal

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