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Study centres in natural language processing already spread and the\udstudy have several applications. Relate with this research area, it is common the use\udtechnic for manipulation a text. These technic is be able to determine the word\udmorphology and the word syntax. There are tools that do this work, however adding\udengines for semantic identification of the words is essential for increase the automatic\udunderstanding the used language. Objective: On the basis of that, This paper present\udthe process of using complex networks as a comparative database to determine by\udcontext the meaning of words that express different positions. Moreover, they are\udclassified as same morphology and syntax , as with some homonyms. Methodology:\udThrough of a experimental methodology, the model proposed it is based in\udconsolidate researches in Natural Language Processing for building a Complex\udNetwork that receives as vertices the words of a certain text and establishes its\udconnections from the occurrence of adjacency between these terms. Therefore,\udobserving the variations of network, it is identified how to textual namesakes are\udrelated and through an context analyzed how if be there, check whether it is used to\udexpress more than one meaning. Results: A generic process with stages of\udpreprocessing, building of a Complex Network used to Natural Language Processing\udfor the building of a network homonyms to extract semantic information textual.\udConclusions: The analyze of homonyms selected and labeled is the process not only\udmorphosyntatic, adding semantic in the phrase, paragraph or text where the words are\udapplied. However, with Natural Language Processing an events and philosophical facts\udcan be better analyzed through of a world written textually, for example, the power of\udargument and the writing of an author profile

Redes complexas de homônimos para análise semântica textual