SenseNet: A Linguistic Tool to Visualize Numerical-Valance Based Sentiment of Textual Data

We believe that text is an important modality for human-computer interaction; so studying the relationship between sentiments conveyed through text and natural language by a numerical analysis strategy is worthwhile for the task of sentiment analysis. Different approaches have already been employed to “sense” sentiment, especially from the texts, but none of those ever considered the valenced based cognitive and appraisal structure of sentiments. The paper puts forward a different approach to sense and visualize sentiments embedded in