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TROPES
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To analyze written or spoken texts, certain questions should be asked with regards to certain objectives. To answer these questions, texts should be brought together to its essential meaning in the best conditions.
Tropes is a Natural Language Processing (NLP) software that guarantees pertinent and quality text analysis.
Analysing the reference
Tropes is capable of immediately detecting the context, of isolating themes and the main actors, by offering three levels of semantic classification. You can rapidly identify who says what? To whom? Who does what? Who’s acting? Where and when? Why?
Qualitative Analysis
Tropes identifies the text style, which enables to situate it and to be rapidly compared with other texts. Tropes regroups in semantic meta-categories the verbs, adjectives, adverbs, personal pronouns and conjunctions.
Chronological Analysis
Tropes carries out a chronological analysis of a text, enabling to rapidly draw out the large episodes, to visualize blocks of discussion and to follow up the development of an idea.
Text Contraction
Tropes identifies a small group of "fundamental propositions" throughout the text, which summarizes it without repeating itself.
Hypertext Navigation
Through a user friendly Graphic User Interface (GUI), Tropes proposes numerous hypertext graphs, automatically sorted keyword lists, real vehicles enabling immediately to view and to check a hypothetical interpretation.
Natural Language Thesaurus Manager
Tropes's Scenario tool is an intelligent Thesaurus manager based on Semantic Networks and Natural Language technologies, sold with several ready-to-use classifications.
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ACETIC 2004
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