News On Demand System using speech technology usually employs automatic speech transcriptions to retrieve the news data. In the retrieval, users specify a few keywords or sentences as a query and the related news data can be retrieved using the speech transcription. However when users can’t give a query clearly, a video shot of news program which users are watching will become a good query to r...

Business news carries varied information of different companies. But in this rapidly moving world the number of news sources present is uncountable, and it’s humanly impossible to read and find all relevant information in the form of news to draw a conclusion timely to make an investment plan that returns maximum profit. In this paper, we have proposed a predictive model to predict sentiment ar...

The past decade has seen the rapid development of the online newsroom. News published online are the main outlet of news surpassing traditional printed newspapers. This poses challenges to the production and to the consumption of those news. With those many sources of information available it is important to find ways to cluster and organise the documents if one wants to understand this new sys...

week about AI, or any other topic, requires more than searching for individual terms. Since it is time-consuming to find and post interesting stories manually, we have designed and written an AI program called NewsFinder1 that automatically collects English-language news stories from the web, categorizes them with trained models, filters out uninteresting and unrelated stories based on a set of...

In this project we try to tackle the problem of classifying a body of text as a corporate message (text usually sent to a private, select audience, usually sent in a company setting and often related to company information) and public messages (text that is more open and can be broadcasted to a larger audience). Corporate messages usually contain sensitive, private data that would put an organi...

In this paper, we propose a novel framework for real-time news certification. Traditional methods detect rumors on message-level and analyze the credibility of one tweet. However, in most occasions, we only remember the keywords of an event and it’s hard for us to completely describe an event in a tweet. Based on the keywords of an event, we gather related microblogs through a distributed data ...

News media typically present biased accounts of news stories, and different publications present different angles on the same event. In this research, we investigate how different publications differ in their approach to stories about climate change, by examining the sentiment and topics presented. To understand these attitudes, we find sentiment targets by combining Latent Dirichlet Allocation...

Political blogs are one of the pivotal alternative communication channels for political news in Malaysia. Many have argued that the mushrooming of political blogs nurtures the effective realization of human rights in the country. The paper studies the ‘Malaysian political blog readers–human rights’ relationship by exploring these questions: Has traditional mainstream media become obsolete with ...

With the recent increase in the number of news videos and in their value, their automatic indexing has been anticipated. Among various proposals for this problem, the use of textual data has been actively considered, and some applications of this type have actually been developed. Nonetheless, most of these approaches are textual data oriented, and a few of them consider the correspondences bet...

Nowadays, Web is characterized by a growing availability of multimedia data together with a strong need for integrating different media and modalities of interaction. Hence, the main goal is to bring into the Web data thought and produced for different media, such as TV or radio content. In this scenario, we focus on multimodal news aggregation retrieval and fusion. In particular, we present pr...