Suchergebnisse - Automatic Keyword Extraction from Textual Data
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Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts
ISSN: 2169-3536Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021Veröffentlicht in IEEE Access (01.01.2021)Volltext
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A survey on different dimensions for graphical keyword extraction techniques: Issues and Challenges
ISSN: 0269-2821, 1573-7462Veröffentlicht: Dordrecht Springer Netherlands 01.08.2021Veröffentlicht in The Artificial intelligence review (01.08.2021)“… In this regard, the Automatic Keyword Extraction (AKE) from textual data has become even more interesting due to its application over different domains of Natural Language Processing (NLP …”
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Textual keyword extraction and summarization: State-of-the-art
ISSN: 0306-4573, 1873-5371Veröffentlicht: Oxford Elsevier Ltd 01.11.2019Veröffentlicht in Information processing & management (01.11.2019)“… •Unsupervised learning approaches are widely employed for keyword extraction.•Recent use of deep neural networks has significantly improved abstractive summarization …”
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Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS Tagging and Enhanced Semantic-Awareness
ISSN: 2078-2489, 2078-2489Veröffentlicht: Basel MDPI AG 01.07.2025Veröffentlicht in Information (Basel) (01.07.2025)“… Automatic keyword extraction (AKE) has gained more importance with the increasing amount of digital textual data that modern computing systems process …”
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Automatic keyword extraction for localized tweets using fuzzy graph connectivity measures
ISSN: 1380-7501, 1573-7721Veröffentlicht: New York Springer US 01.12.2022Veröffentlicht in Multimedia tools and applications (01.12.2022)“… In this context, automatic keyword extraction is a crucial and useful task. Many graph - based methods have been proposed which consider co-occurrence as edge weight, but these methods neglect the semantic relations between words …”
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A survey on different dimensions for graphical keyword extraction techniques
ISSN: 0269-2821, 1573-7462Veröffentlicht: Dordrecht Springer 01.08.2021Veröffentlicht in The Artificial intelligence review (01.08.2021)“… In this regard, the Automatic Keyword Extraction (AKE) from textual data has become even more interesting due to its application over different domains of Natural Language Processing (NLP …”
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A keyword extraction model study in the movie domain with synopsis and reviews
ISSN: 0219-1377, 0219-3116Veröffentlicht: London Springer Nature B.V 01.05.2025Veröffentlicht in Knowledge and information systems (01.05.2025)“… Algorithms for automatic extraction of keywords can provide relevant information in this domain …”
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Variational Bayesian Semi-supervised Keyword Extraction
ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539Veröffentlicht: United States IEEE 07.11.2025Veröffentlicht in IEEE transactions on pattern analysis and machine intelligence (07.11.2025)“… of succinct yet comprehensive information. While many methods have been proposed for automatic keyword extraction in unsupervised and fully supervised settings, effectively leveraging a partial list of known keywords, such as author-specified …”
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A keyword extraction model study in the movie domain with synopsis and reviews: A keyword extraction model study in the movie domain
ISSN: 0219-1377, 0219-3116Veröffentlicht: London Springer London 01.05.2025Veröffentlicht in Knowledge and information systems (01.05.2025)“… Algorithms for automatic extraction of keywords can provide relevant information in this domain …”
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A keyword extraction method from twitter messages represented as graphs
ISSN: 0096-3003, 1873-5649Veröffentlicht: Elsevier Inc 01.08.2014Veröffentlicht in Applied mathematics and computation (01.08.2014)“… In this context, automatic keyword extraction is a task of great usefulness. A fundamental step in text mining techniques consists of building a model for text representation …”
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TNT-KID: Transformer-based neural tagger for keyword identification
ISSN: 1351-3249, 1469-8110Veröffentlicht: Cambridge, UK Cambridge University Press 01.07.2022Veröffentlicht in Natural language engineering (01.07.2022)“… With growing amounts of available textual data, development of algorithms capable of automatic analysis, categorization, and summarization of these data has become a necessity …”
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Activities for the Implementation of Machine-Readable Standards in the Field of Military and Space Activities Using Ontological Engineering Methods
ISSN: 1975-0102, 2093-7423Veröffentlicht: Singapore Springer Nature Singapore 01.01.2024Veröffentlicht in Journal of electrical engineering & technology (01.01.2024)“… -fledged guidelines for industrial facilities. The introduction of artificial intelligence and machine learning in the standardization process will increase the level of automation and allow analyzing data presented in the form of a database …”
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Text Information Mining in Cyberspace: An Information Extraction Method Based on T5 and KeyBERT
Veröffentlicht: IEEE 23.08.2024Veröffentlicht in 2024 IEEE 9th International Conference on Data Science in Cyberspace (DSC) (23.08.2024)“… information in cyberspace. This method combines automatic summarization and keyword extraction to form information briefs …”
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Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 09.11.2022Veröffentlicht in arXiv.org (09.11.2022)“… Automatic keyword extraction (AKE) has gained more importance with the increasing amount of digital textual data that modern computing systems process …”
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Beyond keyword and cue-phrase matching: A sentence-based abstraction technique for information extraction
ISSN: 0167-9236, 1873-5797Veröffentlicht: Amsterdam Elsevier B.V 01.11.2006Veröffentlicht in Decision Support Systems (01.11.2006)“… The model is based on a shallow linguistic extraction technique. What distinguishes it from previous research is that it does not work on the detection of specific keywords or cue-phrases to evaluate the relevance of the sentence concerned …”
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LVTIA: A new method for keyphrase extraction from scientific video lectures
ISSN: 0306-4573, 1873-5371Veröffentlicht: Oxford Elsevier Ltd 01.03.2022Veröffentlicht in Information processing & management (01.03.2022)“… Indexing requires assigning keywords or keyphrases to each video, to represent its content …”
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SEKE: Specialised Experts for Keyword Extraction
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 18.12.2024Veröffentlicht in arXiv.org (18.12.2024)“… Keyword extraction involves identifying the most descriptive words in a document, allowing automatic categorisation and summarisation of large quantities of diverse textual data …”
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Automatic Keyword Extraction Using TextRank
Veröffentlicht: IEEE 01.04.2019Veröffentlicht in 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) (01.04.2019)“… This work presents an automatic keyword extraction algorithm based primarily on a weighted TextRank model …”
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Automatic Identification of Textual Topic Structure-Topic Segmentation
ISBN: 9781665407533, 1665407530ISSN: 2377-844XVeröffentlicht: IEEE 15.07.2022Veröffentlicht in IEEE International Conference on Electronics Information and Emergency Communication (Online) (15.07.2022)“… The TextTiling algorithm is one of the text segmentation methods, and this algorithm is a method proposed based on the structure of the article, which can realize the text extraction of several subtopics …”
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PAKE - PoS Tagger Augmented Keyword Extraction
Veröffentlicht: IEEE 25.09.2024Veröffentlicht in 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (25.09.2024)“… The state-of-the-art techniques for automatic keyword extraction majorly deal with the collection of long documents …”
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