BLOG MARKETING – A RELEVENT INSTRUMENT OF THE MARKETING POLICY

The number of internet users is continuously expanding, and the number of people with apersonal blog is rising in a vertiginous rate from one year to the next. In this context, the BlogMarketing is starting to play an important part within the marketing strategies ofcompanies/organizations/persons. Different aspects of the personal blog are becoming definingelements of the image we are trying to project in the blogosphere. Promotion through the WorldWide Web and advertising through the blog are becoming essential elements of the development andattraction of the potential clients’ interest for products and services offers by a firm, by a non-profitorganization or by a person.blog, marketing, promotion, advertising

Discovering the spatial coverage of the documents through the SpatialCIM Methodology.

The main focus of this paper is to present the SpatialCIM methodology to identify the spatial coverage of the documents in the Brazilian geographic area. This methodology uses a linguistic tool to assist in the entity recognition process. The linguistic tool classifies the recognized entities as person, organization, time and localization, among others. The localization entities are checked using a geographic information system (GIS) in order to extract the Brazilian entity geographic paths. If there are multiple geographic paths for a single entity, the disambiguation process is carried out. This process attempts to locate the best geographic path for an entity considering all the geographic entities in the text. Another important objective of this paper is to show that the disambiguation process improves the geographic classification of the documents considering the obtained geographic paths. The validation process considers a set of news previously labeled by an expert and compared with the results of the disambiguated and non-disambiguated geographic paths. The results showed that the disambiguation process improves the classification compared with the classification without disambiguation. Keywords: Ambiguity problem resolution, spatial coverage identification, toponym resolution

News Comments: Exploring, Modeling, and Online Prediction

Abstract. Online news agents provide commenting facilities for their readers to express their opinions or sentiments with regards to news stories. The number of user supplied comments on a news article may be indicative of its importance, interestingness, or impact. We explore the news comments space, and compare the log-normal and the negative binomial distributions for modeling comments from various news agents. These estimated models can be used to normalize raw comment counts and enable comparison across different news sites. We also examine the feasibility of online prediction of the number of comments, based on the volume observed shortly after publication. We report on solid performance for predicting news comment volume in the long run, after short observation. This prediction can be useful for identifying news stories with the potential to “take off, ” and can be used to support front page optimization for news sites.