A Novel Real-Time Speech Summarizer System for the Learning of Sustainability

Abstract

As the number of speech and video documents increases on the Internet and portable devices proliferate, speech summarization becomes increasingly essential. Relevant research in this domain has typically focused on broadcasts and news; however, the automatic summarization methods used in the past may not apply to other speech domains (e.g., speech in lectures). Therefore, this study explores the lecture speech domain. The features used in previous research were analyzed and suitable features were selected following experimentation; subsequently, a three-phase real-time speech summarizer for the learning of sustainability (RTSSLS) was proposed. Phase One involved selecting independent features (e.g., centrality, resemblance to the title, sentence length, term frequency, and thematic words) and calculating the independent feature scores; Phase Two involved calculating the dependent features, such as the position compared with the independent feature scores; and Phase Three involved comparing these feature scores to obtain weighted averages of the function-scores, determine the highest-scoring sentence, and OPEN ACCESSSustainability 2015, 7 3886 provide a summary. In practical results, the accuracies of macro-average and micro-average for the RTSSLS were 70% and 73%, respectively. Therefore, using a RTSSLS can enable users to acquire key speech information for the learning of sustainability.

Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing

“…Text mining can be divided into keyword-based analysis and word-based analysis [23]. Keyword-based analysis methods are based on the frequency of occurrence, such as the method of using the Term Frequency-Inverse Document Frequency (TF-IDF) value which is an index to judge word importance in the document, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA) [24]. SAO is well known as a representative method in the word-based analysis method.…”

“…Park et al [9] analyzed patent infringement and technology similarity, and Yoon and Kim [23] selected the promising technology and applied it to technical planning. Wang et al [24] utilized the SAO structure to construct the seven layers of the technology roadmap.…”