Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Data Mining - Concepts and Techniques.

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Our focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. We include material on summarization of evaluative text and on broader issues regarding privacy, manipulation, and economic impact that the development of opinion-oriented information-access services gives rise to. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided.

/pdf/opinion-mining-and-sentiment-analysis-3v5ya3qqiw.pdf

Opinion Mining and Sentiment Analysis

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each photograph as well as a sparse 3D model of the scene and image to model correspondences. Our photo explorer uses image-based rendering techniques to smoothly transition between photographs, while also enabling full 3D navigation and exploration of the set of images and world geometry, along with auxiliary information such as overhead maps. Our system also makes it easy to construct photo tours of scenic or historic locations, and to annotate image details, which are automatically transferred to other relevant images. We demonstrate our system on several large personal photo collections as well as images gathered from Internet photo sharing sites.

Photo tourism: exploring photo collections in 3D

This chapter presents in-depth reviews of search tools for supporting information search. With the brief introduction of cutting-edge search support tools, we describe the key ideas behind the tools and implications for design. We also discuss the limitations of conventional search interfaces to explore directions for future research on search support tools.

Search Support Tools

We propose a new TV viewing method by personalizing TV programs with live chat information on the Web. It enables a new way of viewing TV content from different perspectives reflecting viewers' viewpoints.

Personal TV viewing by using live chat as metadata

The cognitive significances of geographic objects play an important role in optimizing a set of place names presented on a map interface. The aim of this research is to assign a value for cognitive significance to each place name in GIS, based on regional documents collected from the Web. The assigned values could be used in GIS applications including regional information searches, path findings, and car navigation systems. We will compare different criteria for cognitive significance and discuss a system already in use, before presenting our experimental results.

Extraction of cognitively-significant place names and regions from Web-based physical proximity co-occurrences

The Web is a vast playground for the propagation of information by individuals. The capability of Web users to leverage the value of Web content, in terms of factors such as usefulness, reputation, or reliability, has emerged as a requirement. The most significant characteristics of the Web are hyperlinks, which enables an author to refer to Web content published by other people. As a result, Web content can refer to other content on the Web in various contexts. The references provide important clues to understanding the roles or reputations of various Web pages according to the viewpoints of third parties. In this paper, we propose an approach to mining referential contexts on the Web.

Referential Context Mining: Discovering Viewpoints from the Web

In this paper, we describe a research project in the planning stage, called a Tea-Time Museum, that aims at exploration of a new environment for content browsing and multi-user collaboration based on contents Tea (currently, Croquet) is a next generation collaborative 3D user environment proposed by Reed et al (2002) Although Croquet is implemented as a collaborative 3D environment for users, new constructs, such as the notion of portals are considered to be key technologies for constructing the next generation digital libraries We provide our interpretations of Croquet constructs from the view point of hypermedia processing, which will be useful for using Croquet as a basis for constructing a new method of content browsing/searching and a new collaborative (social) search based on Web content

Katsumi Tanaka

Papers

Search Support Tools

Personal TV viewing by using live chat as metadata

Extraction of cognitively-significant place names and regions from Web-based physical proximity co-occurrences

Referential Context Mining: Discovering Viewpoints from the Web

Tea-Time museum: Croquet as a browsing and searching environment for digital libraries