Cognitive Linguistics & Quantitative Text Analysis Laboratory｜Shibaura Institute of Technology_欧洲杯足彩app下载

Linguistics is the study of extracting and modeling characteristics found in a language. Since language exists with people, its characteristics change over time and between communities. However, it is impossible to investigate each speaker individually (especially across different periods!). Therefore, we analyze corpora, and collections of language data (samples), to reveal trends in the population. In our lab, we analyze differences in language use across different generations and communities, compare language changes over time, and explore variations in linguistic expressions due to various psychological states, from both qualitative and quantitative perspectives. We primarily use Python-based API requests and surveys with people close to us for corpus creation. Ultimately, these data are processed through programming or software, and the resulting numbers are analyzed statistically. However, since linguistics and cognitive psychology perspectives are also necessary during the analysis, both humanities and science approaches are possible. Many students in our lab are interested in quantifying and modeling the movements of the human mind. For 欧洲杯足彩app下载_欧洲杯下注平台-【直播*网站】 information on the main research themes, please refer to the "Lab Highlights" section below.

College of Engineering Mechanical Engineering Advanced Mechanical Engineering / Graduate School of Engineering and Science（Master's Program） Mechanical Engineering Course / Graduate School of Engineering and Science（Doctor's Program） Functional Control Systems Course

Faculty Name

SHINTANI, Mayu

Keyword

textmining,color terms,Cognitive Linguistics,Motivation,psychometric measurements,Educational Technology,Quantitative text analysis

Laboratory location

No.4 Building OMIYA Campus 4F 4402-2

This lab is for this SDG activity:

Cognitive Linguistics
Quantitative Text Analysis
Linguistic Statistics
Educational Technology
Creation, measurement and evaluation of psychometric scales
Linguistic analysis using Python

Deepen our understanding of the world's diversity through language. Provide better education by assessing people's psychological status and the language they use to express it.

Revealing historical meaning changes in color terms
Exploring learner psychology through quantitative text analysis
Constructing psychometric scales to measure the psychology of L2 English learners
Constructing causal models of psychological factors in relation to English proficiency levels
Uncovering the uncanny valley through linguistic data and psychological states

Laboratory close-up

This laboratory is particularly suitable for those who are from STEM fields but wish to conduct research on language. Research Field: Our laboratory explores an interdisciplinary field that bridges STEM (quantitative approaches) and the humanities/social sciences (qualitative approaches). Sample Student Research Topics: Linguistic analysis of J-Pop lyrics to predict song popularity, Predicting code-switching into Japanese among Chinese international students, Cross-generational analysis of how the concept of oshi (favorite character/performer) is understood, Identifying sources of public anxiety about AI and generative AI using post data from X (formerly Twitter), Exploring the “uncanny valley” phenomenon through cognitive psychology and affective engineering, etc. Undergraduate Seminar: Our undergraduate thesis seminar is held at the Toyosu Campus, where students read and discuss textbooks and research articles on language data science and practice Python-based analysis. For Prospective Graduate Students: We welcome inquiries from students who wish to pursue their Master’s or Doctoral studies under our supervision. Please contact us first at shintani__at__shibaura-it.ac.jp (replace __at__ with @). For International Students: International students with a valid Japanese student visa are also welcome to apply. Please contact us first to discuss the possibilities.