Text grouping in patent analysis using adaptive K-means clustering algorithm

Shanie, Tiara; Suprijadi, Jadi; Zulhanif,

doi:10.1063/1.4979457

Cited by 6 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In terms of cluster generation, k-means is still powerful. Shanie et al [32] used the k-means method to cluster patent documents related to green tea, in which the adaptive cluster number determination method is adopted based on silhouette score. Recently, ML methods for patent analysis have also begun to appear.…”

Section: Patent Miningmentioning

confidence: 99%

Emerging Technologies of Natural Language‐Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics

Chao

Trappey

2021

Complexity

View full text Add to dashboard Cite

Natural language processing (NLP) is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and responding in understandable sentences for specific applications simulating human-to-human conversations and interactions for problem solving or Q&As. This research studies emerging technologies for NLP-enabled intelligent chatbot development using a systematic patent analytic approach. Some intelligent text-mining techniques are applied, including document term frequency analysis for key terminology extractions, clustering method for identifying the subdomains, and Latent Dirichlet Allocation for finding the key topics of patent set. This research utilizes the Derwent Innovation database as the main source for global intelligent chatbot patent retrievals.

show abstract

Section: Patent Miningmentioning

confidence: 99%

Emerging Technologies of Natural Language‐Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics

Chao

Trappey

2021

Complexity

View full text Add to dashboard Cite

show abstract

“…Tari Gending Sriwijaya dibawakan oleh penari muda yang cantik dengan berpakaian pribumi aesan gede, selendang mantri, paksangko, dodot, dan tanggai (Shanie et al, 2017). Aksesoris busana yang digunakan oleh penari dalam tari Gending Sriwijaya merupakan warisan kebudayaan Palembang yang tercipta atas perpaduan budaya Melayu, Jawa, dan Cina yang memiliki simbol dan makna dari keramah-tamahan penduduk serta semangat kebesaran Kerajaan Sriwijaya yang dapat mewakili semangat kebangkitan Asia.…”

Section: Wisata Budayaunclassified

Membangun City Branding Lokalitas dalam Tumbler Starbucks: Suatu Pendekatan Budaya

Wiradharma

2022

j. gov. soc. politicol.

View full text Add to dashboard Cite

This research aims to provide a comprehensive overview of how Tumbler Starbucks City Series Indonesia builds city branding on displayed cities. The method used in this study is qualitative with several supporting techniques such as library study techniques, listen, and record. The results of this study showed that the Tumbler Starbucks City Series can be said to "successfully" display a form of local wisdom such as highlighted elements of dance culture, traditions, and landmarks. Nonetheless, the process in building city branding has not been able to be a strong parameter in an effort to increase tourists. There are several problems that can be felt in the application of city branding in the cover tumbler Starbucks City Series. First, the branding implications contained on this tumbler cover have some contradictions between marketing goals and communication goals. Second, the city image built on a Starbucks City Series tumbler is limited to traditional landmarks and dance. Third, the relatively expensive price of tumblers is also a major drawback to the city branding process in Starbucks tumblers.

show abstract

“…Compared with text mining, visualization approaches for patent analysis have progressed early. Take three major development of visualization approaches for example, ontology map focuses on domain-related knowledge discerption, K-means focuses on topic modeling [19], and technology function matrix focuses on tracking status [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Technology Mining for Intelligent Chatbot Development

Chao

Trappey

et al. 2021

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in the realm of the human-computer interface/interaction (HCI) for all state-of-the-art software applications. NLP enables interfaces between machines and humans allowing machines/computers/systems to understand human languages and engaging in dialogues. An intelligent chatbot development must incorporate NLP technologies to allow the understanding of users’ utterance and responding in understandable sentences in versatile scenarios. This research investigates the emerging technological trend of intelligent chatbot development. The systematic trend analysis is described in the research. First, patents related to intelligent chatbot domain are retrieved using a well-defined search query. The queries are derived from the knowledge ontology, which is extracted using text-mining algorithms - key term frequency analysis, clustering for sub-domain identification, and Latent Dirichlet Allocation (LDA) for topic modelling. Afterwards, the management and technology maps of a patent portfolio, such as patenting trends and technology function matrix, are extracted and drawn. The technology trend analysis also investigated the distributions of the relevant patent claims for specific industries.

show abstract

Text grouping in patent analysis using adaptive K-means clustering algorithm

Cited by 6 publications

References 3 publications

Emerging Technologies of Natural Language‐Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics

Emerging Technologies of Natural Language‐Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics

Membangun City Branding Lokalitas dalam Tumbler Starbucks: Suatu Pendekatan Budaya

Technology Mining for Intelligent Chatbot Development

Contact Info

Product

Resources

About