one of the most important issues related to knowledge discovery is the field of comment mining. opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. this is a subset of data mining. opinion mining can be improved using the data mining algorithms. one of the important parts of opinion minin...

One of the most important issues related to knowledge discovery is the field of comment mining. Opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. This is a subset of data mining. Opinion mining can be improved using the data mining algorithms. One of the important parts of opinion minin...

the invisible hands of peer reviewers play a determining role in the eventual fate of submissions to international english-medium journals. this study builds on the assumption that non-native researchers and prospective academic authors may find the whole strive for publication, and more specifically, the tough review process, less threatening if they are aware of journal reviewers’ expectation...

Research shows that comment spamming (comments which are unsolicited, unrelated, abusive, hateful, commercial advertisements etc) in online discussion forums has become a common phenomenon in Web 2.0 applications and there is a strong need to counter or combat comment spamming. We present a method to automatically detect comment spammer in YouTube (largest and a popular video sharing website) f...

Existing approaches to summarizing multi-party argumentative conversations in reader comment are extractive and fail to capture the argumentative nature of these conversations. Work on argument mining proposes schemes for identifying argument elements and relations in text but has not yet addressed how summaries might be generated from a global analysis of a conversation based on these schemes....

Résumé. Au cours de ces dernières années, de nombreuses techniques de stream mining ont été proposées afin d’analyser des flux de données en temps réel. Dans cet article, nous montrons comment nous avons utilisé des techniques de stream mining permettant la recherche d’objets massifs hiérarchiques (hierarchical heavy hitters) dans un flux de données pour identifier en temps réel dans un réseau ...

This paper considers some preliminary evidence about environmental disclosures of Australian gold/copper mining companies with interests in PNG, Indonesia, or both. First, comment is made about the possible importance of the content of annual reports to stakeholders. Second, a framework of expectations about annual report disclosures of multinationals is developed. Third, the technique of conte...

Blog posts containing many personal experiences or perspectives toward specific subjects are useful. Blogs allow readers to interact with bloggers by placing comments on specific blog posts. The comments carry viewpoints of readers toward the targets described in the post, or supportive/non-supportive attitude toward the post. Comment extraction is challenging due to that there does not exist a...

This paper proposes a new task in argument mining in online debates. The task includes three annotations steps that result in fine-grained annotations of agreement and disagreement at a propositional level. We report on the results of a pilot annotation task on identifying sentences that are directly addressed in the comment.

We briefly overview the problem of learning probabilities from data using imprecise probability models that express very weak prior beliefs. Then we comment on the new contributions to this question given in the paper by Masegosa and Moral and provide some insights about the performance of their models in data mining experiments of classification.