14. A method for analysis of an opinion expressed in documents on a particular topic of interest, comprising the steps of: specifying sources of documents, topic of interest, and time period of interest using a processor of a data processing system including an opinion analysis module adapted for analyzing documents in at least one respective language; retrieving documents D on said topic of interest for said time period from said sources of documents; identifying a language of each document d of said retrieved documents D; entering said each document d into said opinion analysis module if said identified language of said each document d corresponds to said at least one respective language, otherwise, translating said each document d from said identified language into said at least one respective language, and sending a translated said each document d to said opinion analysis module; forming a Scored Opinion Expressing Words Bank containing precalculated word scoring functions assigning respective scores to predetermined opinion expressing words and phrases; computing an intensity of an opinion expressed in said each document d on said topic of interest in said opinion analysis module; wherein said computation of the intensity of the opinion expressed in said each document d on said topic of interest further comprises the steps of: extracting a set of sentences s expressing the opinion about said topic of interest from said at least one document d, in each said sentence s expressing the opinion about said topic of interest, finding opinion expressing words ω and synonyms ω′ thereof, for each of said ω and ω′, extracting a corresponding score from said Scored Opinion Expressing Words Bank, adding said extracted scores for all ω and ω′ in said each sentence s, and averaging said added score of all said sentences s in said set thereof in said at least one document d; and outputting said computed intensity of opinion in a multi-dimensional format at an opinion representation unit.
14. A method for analysis of an opinion expressed in documents on a particular topic of interest, comprising the steps of: specifying sources of documents, topic of interest, and time period of interest using a processor of a data processing system including an opinion analysis module adapted for analyzing documents in at least one respective language; retrieving documents D on said topic of interest for said time period from said sources of documents; identifying a language of each document d of said retrieved documents D; entering said each document d into said opinion analysis module if said identified language of said each document d corresponds to said at least one respective language, otherwise, translating said each document d from said identified language into said at least one respective language, and sending a translated said each document d to said opinion analysis module; forming a Scored Opinion Expressing Words Bank containing precalculated word scoring functions assigning respective scores to predetermined opinion expressing words and phrases; computing an intensity of an opinion expressed in said each document d on said topic of interest in said opinion analysis module; wherein said computation of the intensity of the opinion expressed in said each document d on said topic of interest further comprises the steps of: extracting a set of sentences s expressing the opinion about said topic of interest from said at least one document d, in each said sentence s expressing the opinion about said topic of interest, finding opinion expressing words ω and synonyms ω′ thereof, for each of said ω and ω′, extracting a corresponding score from said Scored Opinion Expressing Words Bank, adding said extracted scores for all ω and ω′ in said each sentence s, and averaging said added score of all said sentences s in said set thereof in said at least one document d; and outputting said computed intensity of opinion in a multi-dimensional format at an opinion representation unit. 18. The method of claim 14 , wherein formation of the Scored Opinion Expressing Words Bank further comprises the steps of: selecting a collection D test of training documents, scoring opinion intensity of each document in said collection D test by a plurality of human individuals, for each document from said collection D test , forming a multiset of said opinion intensities scored by said plurality of human individuals, and scoring opinion expressing words and phrases.