NATURAL LANGUAGE COMPLEXITY. SENTIMENT ANALYSIS

The paper brings in discussion one of the most current issues in the research area of natural language processing, sentiment analysis. A sentiment analysis means to have the necessary competence to identify the nature of speaker's opinions about entities or/and specific needs (journalists, competitors, public opinion, services, products, etc.), knowing that the decision-making process is affected by the received message. We are witnessing an explosion of "sentiments" about matters of public interest subjects, available, especially, on social media channels, including forums, blogs and other online or offline manifestation forms. In other words, we have the most offering possibility to monitor in real time commentator's sentiment and act accordingly. We present in this paper aspects about natural language complexity from emotional perspective and some language resources that can be used in sentiment analysis systems. This research supports the direct beneficiaries (marketing managers, PR firms, campaign managers, politicians, investors, online buyers), but, also, specialists in the field of natural language processing, linguists, psychologists, etc.