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What are the limits of automated Twitter sentiment classification? We analyze a large set of manually labeled tweets in different languages, use them as training data, and construct automated classification models. It turns out that the quality of classification models depends much more on the quality and size of training data than on the type of the model(More)
With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user efficiency has emerged. Within the fields of user profiling and Web personalization several popular content filtering techniques have been developed. In this chapter we present one of such(More)
User profiling is an important part of the Semantic Web as it integrates the user into the concept of Web data with machine-readable semantics. In this paper, user profiling is presented as a way of providing the user with his/her interest-focused browsing history. We present a system that is incorporated into the Internet Explorer and maintains a dynamic(More)
This year's Discovery Challenge was dedicated to solving of the video lecture recommendation problems, based on the data collected at Vide-oLectures.Net site. Challenge had two tasks: task 1 in which new-user/new-item recommendation problem was simulated, and the task 2 which was a simulation of the clickstream-based recommendation. In this overview we(More)
The paper describes Obeliks, a new statistical tagger for Slovene developed within the "Communication in Slovene" project. The new tool consists of three modules: a rule-based sentence splitter and tokenizer, a morphosyntactic tagger, and a version of the LemmaGen lemmatizer which works in combination with the tagger. Obeliks is trained on the ssj500k(More)
We present experimental results of confronting the k-Nearest Neighbor (kNN) algorithm with Support Vector Machine (SVM) in the collaborative filtering framework using datasets with different properties. While k-Nearest Neighbor is usually used for the collaborative filtering tasks, Support Vector Machine is considered a state-of-the-art classification(More)
This paper presents an approach for automating semantic annotation within service-oriented architectures that provide interfaces to databases of spatial-information objects. The automation of the annotation process facilitates the transition from the current state-of-the-art architectures towards semantically-enabled architectures. We see the annotation(More)
Keywords : Predictive sentiment analysis Stream-based active learning Stock market Twitter Positive sentiment probability Granger causality a b s t r a c t Studying the relationship between public sentiment and stock prices has been the focus of several studies. This paper analyzes whether the sentiment expressed in Twitter feeds , which discuss selected(More)