This research aimed to measure the effectiveness of Thai news headlines classification using an artificial neural network (ANN). The consisted i) political news, ii) sports iii) economic and iv) crime 1,200 in total. distribution was measured by chi-square, information gain, term frequency inverse class (TFICF). Threshold default value set relation terms before cross-validation employed categor...

Social media have become a very important news platform, both for the presentation and consumption of by social users. News is therefore eagerly shared on platforms such as Facebook, Instagram, Twitter in hope reaching many consumers possible. In this highly competitive landscape, aim to attract consumer attention these stories incorporating logic into their reporting. study, we focus specifica...

This paper reports on the automatic generation of image macro based Internet memes – potentially funny combinations of an image and text, intended to be spread in social networks. Memes are produced for news headlines for which, based on linguistic features, a suitable macro is selected and the text is adapted. The generation method is described together with its current implementation, which i...

when asked about US politics. " But I think that this country is so powerful and what goes on politically here is so enormously influential, the rest of the world is entitled to have a say. " Although religious groups denounce him on websites and radio talk shows, he has not received abuse at public meetings; religious people tended not to turn up — " which in a way is a shame " , he said. Whil...

News report has become an important source for people to obtain information, and as the “eye” of a piece news, title highly summarizes its theme, expresses attitude author. By analyzing relevant literature, it is found that most current studies focus on stylistic characteristics translation principles news translation. The headline are limited. Besides, researches headlines mainly specific meth...

In todays era huge volume of information exists everywhere. Therefore, it is very crucial to evaluate that and extract useful, often summarized, out so may be used for relevant purposes. This extraction can achieved through a technique artificial intelligence, namely, machine learning. Indeed automatic text summarization has emerged as an important application learning in processing. this paper...

Algorithmic trading, due to its inherent nature, is a difficult problem tackle; there are too many variables involved in the real-world which makes it almost impossible have reliable algorithms for automated stock trading. The lack of labelled data that considers physical and physiological factors dictate ups downs market, has hindered supervised learning attempts dependable predictions. To lea...

This paper presents Hedge Trimmer, a HEaDline GEneration system that creates a headline for a newspaper story using linguistically-motivated heuristics to guide the choice of a potential headline. We present feasibility tests used to establish the validity of an approach that constructs a headline by selecting words in order from a story. In addition, we describe experimental results that demon...