TY - GEN A1 - Ładyżyński, Piotr. Autor A1 - Grzegorzewski, Przemysław Wojciech. Autor PB - Instytut Badań Systemowych. Polska Akademia Nauk PB - Systems Research Institute. Polish Academy of Sciences N1 - 12 pages ; 21 cm N1 - Bibliography p. 12 N2 - As e-commerce is becoming more and more popular, the number of different products reviews done by customer grows rapidly. The efficient method for automatic summarization of customers’ reviews is required. The majority of existing approaches classify a review only whether the opinion is positive or negative. In the present paper we show how to extract product features from the set of the reviews to design feature based summaries of available opinions. These summaries are later used to recommend a customer the best product corresponding to his individual demands. M3 - Text CY - Warszawa J2 - Raport Badawczy = Research Report ; RB/34/2013 PY - 2013 KW - Information retrival KW - Podobieństwo KW - Wydobywanie informacji KW - Decision making KW - Podejmowanie decyzji KW - If-sets KW - Recommender system KW - System rekomendujący KW - Bipolarity KW - Opinion mining KW - Similarity KW - Text processing KW - Dwubiegunowość KW - Eksploracja opinii KW - Przetwarzanie tekstu T1 - Automatic recommendations based on customers’ reviews mining UR - http://www.rcin.org.pl/dlibra/publication/edition/106044 ER -