HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels
نویسندگان
چکیده
We present the HIClass (Hyper Interactive text Classification) system, an interactive text classification system which combines the cognitive power of humans with the power of automated learners to make statistically sound classification decisions. HIClass is based on active learning principles and has aids for detailed analysis and fine tuning of text classifiers while exerting a low cognitive load on the user.
منابع مشابه
Document Classification Through Interactive Supervision of Document and Term Labels
Effective incorporation of human expertise, while exerting a low cognitive load, is a critical aspect of real-life text classification applications that is not adequately addressed by batch-supervised highaccuracy learners. Standard text classifiers are supervised in only one way: assigning labels to whole documents. They are thus deprived of the enormous wisdom that humans carry about the sign...
متن کاملInteractive Art Analysis Based on Baudrillard’s Hyper reality Theory, a Case Study of Digital Interactive installation
The contemporary philosopher Jean Baudrillard, one of the postmodernism theorists, considers representation in the contemporary world as a factor in the disappearance of reality. In his view, the main feature of new arts is not the expression of artistic beauty, but communication with the audience and expression of the artist’s ideas. In interactive art, the presence and role of the audience in...
متن کاملA New Document Embedding Method for News Classification
Abstract- Text classification is one of the main tasks of natural language processing (NLP). In this task, documents are classified into pre-defined categories. There is lots of news spreading on the web. A text classifier can categorize news automatically and this facilitates and accelerates access to the news. The first step in text classification is to represent documents in a suitable way t...
متن کاملA Document Weighted Approach for Gender and Age Prediction Based on Term Weight Measure
Author profiling is a text classification technique, which is used to predict the profiles of unknown text by analyzing their writing styles. Author profiles are the characteristics of the authors like gender, age, nativity language, country and educational background. The existing approaches for Author Profiling suffered from problems like high dimensionality of features and fail to capture th...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004