Lexical bundles and moves are essential for vloggers to communicate clearly and purposefully within travel vlog discourse. It is crucial for L2 learners and practitioners aiming to enter the industry to master these bundles and understand the moves used in creating travel vlogs. This corpus-based study compiled a list of 239 four-word lexical…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

The results of an industry research survey showed, understanding Dissertation Research categories has not been the focused on many researchers and institutions. This research expands on machine learning methodologies using two similar datasets to answer these three questions: 1. Is there a way to track the trends of Pace University's Doctor of…

Although collaborative writing studies have found that collaboratively-written texts are more accurate than individually-written texts, previous studies in this framework have not identified differences in the grammatical features of texts written individually or collaboratively (Fernández-Dobao, 2012 Wigglesworth & Storch 2009; Storch &…

ONE OF THE PROBLEMS IN INFORMATION STORAGE AND RETRIEVAL SYSTEMS OF TECHNICAL DOCUMENTS IS THE INTERPRETATION OF WORDS USED TO INDEX DOCUMENTS. SEMANTIC TOOLS, DEFINED AS CHANNELS FOR THE COMMUNICATION OF WORD MEANINGS BETWEEN TECHNICAL EXPERTS, DOCUMENT INDEXERS, AND SEARCHERS, PROVIDE ONE METHOD OF DEALING WITH THE PROBLEM OF MULTIPLE…

Reviews aspects of the relationship between machine learning and information retrieval. Highlights include learning programs that extend from knowledge-sparse learning to knowledge-rich learning; the role of the thesaurus; knowledge bases; artificial intelligence; weighting documents; work frequency; and merging classification structures. (78…

Presents a method for identifying indexing terms from word stems, using discriminant analysis to distinguish terms which refer to topics from terms which do not refer to topics. A test of the method on the Harris Survey Question database is discussed. Included are 11 data tables and a reference list. (Author/JL)

Discusses ways to improve quality of retrieval systems that depend on use of truncated words or quasi-word stems as indexing vocabulary. Problems of generalizability and stability of discriminant function analysis for selecting good topical terms in database drawn from abstracts of Harris Survey press releases are addressed. References are cited.…