Keyword-based Text Matching Approach for Design Style Recognition
نویسندگان
چکیده
We present the results of an investigation into the recognition a design style by analysing keywords in the text descriptions of design styles. A simple keyword-based matching technique is used to classify a design style by examining its text description. Domain specific dictionaries of keywords are used to reduce the dimensions of the feature space. The results of the classifier are compared with those of SVM and decision tree based classifiers. The results conclude that design style in the domain that we analysed can be recognised with accuracy of approximately 75% from its descriptions.
منابع مشابه
Style Recognition Using Keyword Analysis
The primary aim of this research project is to develop a generic framework and methodologies that will enable the augmentation of expert knowledge with knowledge extracted from multimedia sources such as text and pictures, for the purpose of classification and analysis. For evaluation and testing purposes of this research study, a furniture design style domain is selected because it is a common...
متن کاملKeyword Search in Text Cube: Finding Top-k Relevant Cells
We study the problem of keyword search in a data cube with text-rich dimension(s) (so-called text cube). The text cube is built on a multidimensional text database, where each row is associated with some text data (e.g., a document) and other structural dimensions (attributes). A cell in the text cube aggregates a set of documents with matching attribute values in a subset of dimensions. A cell...
متن کاملEstimation of Phone Mismatch Penalty Matricesfor Two-Stage Keyword Spotting
In this letter, we propose a novel approach to estimate three different kinds of phone mismatch penalty matrices for two-stage keyword spotting. When the output of a phone recognizer is given, detection of a specific keyword is carried out through text matching with the phone sequences provided by the specified keyword using the proposed phone mismatch penalty matrices. The penalty matrices ass...
متن کاملStyle Based Search – Using RNN for searching Web Design Gallery
Current search engines are largely text based, and the text vocabulary that they use is a poor match for the style based concerns. Search engines return pages whose content relates semantically to the keyword query; they cannot be used for searches along stylistic attributes such as “pages with funny backgrounds” or “pages that look professional” etc. We propose a system1 that will allow users ...
متن کاملPhone mismatch penalty matrices for two-stage keyword spotting via multi-pass phone recognizer
In this paper, we propose a novel approach to estimate three types of phone mismatch penalty matrices for two-state keyword spotting. When the output of a phone recognizer is given, text matching with the phone sequences provided by the specified keyword using the proposed phone mismatch penalty matrices is carried out to detect a specific keyword. The penalty matrices which is estimated from t...
متن کامل