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.

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Opinion Mining and Sentiment Analysis

In embodiments of the present invention improved capabilities are described for displaying mobile content in association with a website on a mobile communication facility based at least in part on receiving a website request from a mobile carrier gateway, receiving contextual information relating to the requested website, associating the received contextual information with a mobile content, and, finally, displaying the mobile content with the website on a mobile communication facility.

Contextual Mobile Content Placement on a Mobile Communication Facility

Sentiment analysis in Facebook and its application to e-learning

The present invention relates device, system and method for facilitating receiving active note(s) from active note(s) provider(s) from the client device and responding multidimensional active resources & actions(s) for said active note(s) by multidimensional active resources & actions(s) provider(s) to the client device. A real time and/or near real communication mechanism such as online, smart and mobile communication applications like web site, smart client, instant messaging, e-mail may be used to communicate with a client device and a community of responders or multidimensional active resources & actions(s) provider(s). One or more Active Note(s) are received from client devices, processed, and sent to responders. Responses from the responders are received, and response is sent to the client device.

Method and system for customized, contextual, dynamic and unified communication, zero click advertisement and prospective customers search engine

Improved search capabilities are disclosed for mobile communications devices such as cell phones, as well as improved techniques for delivering sponsored content in a mobile communication environment.

Managing Sponsored Content Based on Usage History

A social network visualization and mining system that includes a visualization application for mining social networks of users in an online social network. This visualization can be used to mine the social network for additional information and intelligence. The social network is displaying in graphical form, such as a node-link graph, with a center node representing the social network of a user being examined, and secondary nodes represent the primary user's friends. Lines represent links between the primary user and his friends, while various visualization features such as line thickness, line color, and text size are used to easily identify the type of relationship between users. The system also includes a topics visualization module, which builds and displays a social network based on a certain topic or keyword that is entered by the application user. A demographic prediction module examines a user's social network to predict demographics of users.

Visualization application for mining of social networks

An influential persons identification system and method for identifying a set of influential persons (or influencers) in a social network (such as an online social network). The influential persons set is generated such that by sending a message to the set the message will be propagated through the network at the greatest speed and coverage. A ranking of users is generated, and a pruning process is performed starting with the top-ranked user and working down the list. For each user on the list, the user is identified as an influencer and then the user and each of his friends are deleted from the social network users list. Next, the same process is performed for the second-ranked user, the third-ranked user, and so forth. The process terminates when the list of users of the social network is exhausted or the desired number of influencers on the influential person set is reached.

Identifying influential persons in a social network

Computer-readable media, systems, and methods for sensitive webpage content detection are described. In embodiments, a multi-class classifier is developed and one or more webpages with webpage content are received. In various embodiments, the one or more webpages are analyzed with the multi-class classifier and, in various embodiments, a sensitivity level is predicted that is associated with the webpage content of the one or more webpages. In various other embodiments, the multi-class classifier includes one or more sensitivity categories.

Sensitive webpage content detection

Online advertising has been a popular topic in recent years. In this paper, we address one of the important problems in online advertising, i.e., how to detect whether a publisher webpage contains sensitive content and is appropriate for showing advertisement(s) on it.We take a webpage classification approach to solve this problem. First we design a unique sensitive content taxonomy. Then we adopt an iterative training data collection and classifier building approach, to build a hierarchical classifier which can classify webpages into one of the nodes in the sensitive content taxonomy. The experimental result show that using this approach, we are able to build a unique sensitive content classifier with decent accuracy while only requiring limited amount of human labeling effort.

Sensitive webpage classification for content advertising

This invention provides a system and method for predicting user demographic attributes for non-registered users and users with incomplete profiles The invention uses demographic information from registered users and user search history logs to create a database of information that associates the users' search history habits with their demographic attributes The invention creates a first database that associates users' search query history with their demographic attributes, and also creates a second database that associates web pages that users have visited frequently along with the users' demographic attributes The invention can compare the searching and browsing habits of non-registered users and users with incomplete profiles to the searching and browsing habits of registered users Through the comparison, the invention can use the corresponding demographic attributes of the registered users to predict the demographic attributes of the non-registered users and the registered users with incomplete profiles

Teresa Mah

Papers

Visualization application for mining of social networks

Identifying influential persons in a social network

Sensitive webpage content detection

Sensitive webpage classification for content advertising

Predicting demographic attributes based on online behavior