An important aspect of social data analysis is the identification of sentiments and sentiment targets (Tuveri and Angioni 2014; Zhang and Liu 2014).
"So there is a discrepancy," he explained, "between the thinking of the former [LDP] government and public sentiment".Public sentiment on Okinawa, with Japan's densest concentration of American forces, is not entirely of one voice about the options.
Given some text, name entity, sentiment carrier, sentiment orientation of carrier, and relationship between name entity and sentiment carrier can be calculated by employing the method mentioned earlier.
Next, combined with sentiment words and influence of modifiers on sentiment intensity, sentiment value of the whole text is calculated.
This percentage is a new for the model that accounts for economic indicators like consumer sentiment, manufacturing sentiment, building permits, auto sales, and unemployment.
This is where sentiment analysis and sentiment mapping come in, a concept being explored by the Royal College of Art, startup Commonplace and the UK's technology and innovation centre, Transport Systems Catapult.
Sentiment tokens and sentiment scores are information extracted from the original dataset.
Three parts, prominent word and name entity extraction, sentiment carriers recognition, and sentiment analysis for text, are included.
Two joint models, that are sentiment-LDA and dependency-sentiment-LDA are used to extract aspects through their dependency on sentiment words, however, the separation between aspects and sentiment words was inconclusive.
Besides, the study (Oppong-Tawiah et al. 2016) has investigated the effect of both structural capital (degree and eigenvector centrality) and social connectedness (sentiment score and sentiment similarity index) of a candidate on an individual and community level.
