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- W4210374967 abstract "Abstract This paper presents TeknoAssistant, a domain-specific tech mining method for building a problem–solution conceptual network aimed at helping technicians from a particular field to find alternative tools and pathways to implement when confronted with a problem. We evaluate our approach using Natural Language Processing field, and propose a 2-g text mining process adapted for analyzing scientific publications. We rely on a combination of custom indicators with Stanford OpenIE SAO extractor to build a Bernoulli Naïve Bayes classifier which is trained by using domain-specific vocabulary provided by the TeknoAssistant user. The 2-g contained in the abstracts of a scientific publication dataset are classified in either “problem”, “solution” or “none” categories, and a problem–solution network is built, based on the co-occurrence of problems and solutions in the abstracts. We propose a combination of clustering technique, visualization and Social Network Analysis indicators for guiding a hypothetical user in a domain-specific problem solving process." @default.
- W4210374967 created "2022-02-08" @default.
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- W4210374967 date "2022-02-05" @default.
- W4210374967 modified "2023-09-26" @default.
- W4210374967 title "TeknoAssistant : a domain specific tech mining approach for technical problem-solving support" @default.
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- W4210374967 doi "https://doi.org/10.1007/s11192-022-04280-2" @default.
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