Zobrazeno 1 - 10
of 2 492
pro vyhledávání: '"Text Analytics"'
Publikováno v:
Benchmarking: An International Journal, 2023, Vol. 31, Issue 8, pp. 2743-2766.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BIJ-07-2022-0454
Autor:
Iqbal H. Sarker
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-7 (2024)
Abstract Large language models (LLMs) are an exciting breakthrough in the rapidly growing field of artificial intelligence (AI), offering unparalleled potential in a variety of application domains such as finance, business, healthcare, cybersecurity,
Externí odkaz:
https://doaj.org/article/8fbb1e55c53c440cb3781e81d7ab8a27
Publikováno v:
Carbon Research, Vol 3, Iss 1, Pp 1-11 (2024)
Abstract The acceleration of global climate change poses enormous challenges to the automotive manufacturing industry, a key sector in reducing greenhouse gas (GHG) emissions. Particularly, Scope 3 emissions, encompassing indirect emissions, often co
Externí odkaz:
https://doaj.org/article/0cc26d0af40f4667b3acd9d1ac314c45
Autor:
Vasily KASHKIN, Yuriy ANDROSIK
Publikováno v:
Business Excellence and Management, Vol 14, Iss 1, Pp 61-71 (2024)
Social media analytics is the backbone of successful marketing. It allows you to accurately find and understand the target audience of the company. However, this requires analyzing a huge amount of publicly available data. This is where software tool
Externí odkaz:
https://doaj.org/article/00950100cd014fc789958a46b9a0f3eb
Autor:
Rathapon Saruthirathanaworakun, Ngoc Thien Le, Truong Thanh Le, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung, Watit Benjapolakul
Publikováno v:
IEEE Access, Vol 12, Pp 144122-144149 (2024)
In order to support the development of more efficient spectrum management by using Big Data and Artificial Intelligence (AI), the authors study and propose a methodological framework that allows the application of Big Data and AI into spectrum manage
Externí odkaz:
https://doaj.org/article/125c390f8d1847248da47a913e931e57
Publikováno v:
IEEE Access, Vol 12, Pp 98207-98224 (2024)
In the financial field, texts such as news and commentaries, as carriers of public opinion, have the function of reflecting investor sentiment, influencing investment decisions and market trends, and extracting positive or negative sentiment from the
Externí odkaz:
https://doaj.org/article/a6a363bb78ce42ecafc5e223bcb1f212
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 3, Pp 385-393 (2024)
Negation is a universal linguistic phenomenon that affects the performance of Natural Language Processing (NLP) applications, especially opinion mining data. Many words exists in sentences that have multiple interpretations or sentiments depending on
Externí odkaz:
https://doaj.org/article/8a4cac7ac87e436e87b390a3d9096059
Autor:
Yongping LI, Aidong ZHANG
Publikováno v:
Haiyang Kaifa yu guanli, Vol 41, Iss 1, Pp 59-66 (2024)
The sea is a strategic place to achieve high-quality development in the new stage of development, and its role in the development of the national economy is becoming increasingly prominent. This paper uses text analysis to analyze the policy document
Externí odkaz:
https://doaj.org/article/49008eb4fe6046b8b96fe4b51bf65612
Autor:
I. V. Privalova
Publikováno v:
Učënye Zapiski Kazanskogo Universiteta: Seriâ Gumanitarnye Nauki, Vol 165, Iss 3, Pp 43-54 (2023)
This article explores the possibilities of interaction between psycholinguistics, corpus linguistics, and text mining. When it comes to big data processing, the recent advances in psycholinguistics must be taken into account. In our digital reality,
Externí odkaz:
https://doaj.org/article/c5bbaaaa293548eaacc2e3e3b5534217
Publikováno v:
Information, Vol 15, Iss 10, p 599 (2024)
YouTube is a popular social media platform in the contemporary digital landscape. The primary focus of this study is to explore the underlying sentiment in user comments about food-related videos on YouTube, specifically within two pivotal food categ
Externí odkaz:
https://doaj.org/article/9624fcab3a53401f94670d4e77924a40