Investigating wordʼs semantic component with qualitative analysis
نویسندگان
چکیده
منابع مشابه
Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, the parameters of a PLSA model are trained using the Expectation Maximization (EM) algorithm, and as a result, the trained model is dependent on the initialization values so that performance can be highly variable. In th...
متن کاملInvestigating Fuzzy Reasoning in Semantic Image Analysis
Recent advances in semantic image analysis have brought forth generic methodologies to support concept learning at large scale. The attained performance however is highly variable, reflecting effects related to similarities and variations in the visual manifestations of semantically distinct concepts, much as to the limitations issuing from considering semantics solely in the form of perceptual...
متن کاملPrincipal Component Analysis and Qualitative Spatial Reasoning
In this big data modern age, enormous size of data is a challenge for the computer algorithms as well as hardware because important information is hidden in the data. Principal Component Analysis (PCA) is used to transform the data so that meaningful information becomes explicit. The huge dimensional data can be approximated with a few dimensions. Qualitative Spatial Reasoning (QSR), spatial or...
متن کاملAutomated Coding of Qualitative Interviews with Latent Semantic Analysis
Coding and analysing qualitative interviews is one of several core techniques used in marketing research. Qualitative methods offer valuable information hardly gained by standard quantitative methods since open-ended questions and interviews provide deeper insight into customer demands. The main disadvantages of qualitative methods are their inherent subjectivity and their high costs. We tackle...
متن کاملInvestigating the Semantic Gap through Query Log Analysis
Significant efforts have focused in the past years on bringing large amounts of metadata online and the success of these efforts can be seen by the impressive number of web sites exposing data in RDFa or RDF/XML. However, little is known about the extent to which this data fits the needs of ordinary web users with everyday information needs. In this paper we study what we perceive as the semant...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Экспериментальная психология
سال: 2017
ISSN: 2072-7593,2311-7036
DOI: 10.17759/exppsy.2017100302