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Analysis of subjectivity is the actively developed direction of research in text mining. The paper presents machine learning experiments on classification of sentiments in forum texts. We explore the difficult task of classification when texts are labeled by several sentiment labels and in this condition we reach the average F-measure equal to 0.805.
We discuss the results of a study on characterizing interpersonal social relationships in terms of their emotional intensity and valence in the context of several preliminary studies on the representation of social relations and the detection and characterization of individual relationships from online communication. A common aspect of these studies is the conclusion that the in-depth analysis of...
In this paper we present a light-weighted Machine Learning based approach to the recognition and semantic classification of temporal expressions in different languages. We applied the proposed approach to English, Italian and Spanish with limited porting efforts. The experimental results show that our system produces state-of-the-art performance on all the corpora used and in some cases outperforms...
The proposed paper presents the development of a part-of-speech tagger for Kannada language that can be used for analyzing and annotating Kannada texts. POS tagging is considered as one of the basic tool and component necessary for many Natural Language Processing (NLP) applications like speech recognition, natural language parsing, information retrieval and information extraction of a given language...
Sentiment classification is very useful in many applications such as analysis of product reviews in e-business applications and media opinion mining. In this paper, a novel method to tag words sentiment automatically is proposed. In this method, a word association graph is firstly constructed from text corpus, i.e. product reviews, in which each node is a word and if there is an edge between two words,...
Named entity (NE) extraction for Thai language is a difficult and time consuming task because sentences in Thai language are composed of a series of words formed by a stream of characters. Moreover, there are no delimiters (blank space) to show word boundaries. Currently, most named entity extraction methods for Thai language are associated with word segmentation and part of speech (POS) tagging processes...
Parts of speech tagging forms the important pre-processing step in many of the natural language processing applications like text summarization, question answering and information retrieval system. MorphoSyntactic disambiguation (part of speech tagging) is the process of classifying every word in a given context to its appropriate part of speech. In this paper, we first review all the supervised machine...
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