Precise tweet classification and sentiment analysis

An associative engines based approach supporting collaborative analytics in the Internet of cultural things

“…For both on-site and territorial 120 visits, tweets are exploited as a very relevant and special source of social network data, due to their near-real-time nature combined with geo-reference. During the past 10 years, hundreds of millions of Internet users all over the world have visited thousands of social networking sites and social media sites [7], and tweet analysis received increasing interest in the academic world [8], marketing & sales 125 [13], and non-profit organizations [14], for a wide range of purposes: publishing and promotion of cultural events, services, products; e-Tourism [18]; recruiting of personnel; analysis / prediction of user's interests, preferences, opinions and trends; sentiment analysis [9] and consensus / reputation analysis for products, persons, political entities, organizations; community and social network 130 building; analysis of information diffusion in social networks [11,12], including applications in cases of threats and emergencies (earthquakes, epidemics, disasters). International Workshops and continuous research tracks have been devoted to Tweet Contextualization [10], and related geographic information received much attention: in [15] authors propose and evaluate a probabilis-135 tic framework for estimating a Twitter user's city-level location based purely on the content of the user's tweets, while in [16] geo-space relationships and proximity influence are associated to tweet contents, since people in close geographic proximity can provide real-time information and eyewitness updates for one another about events of local interest.…”

A Survey on Sentiment Analysis and Opinion Mining

“…A precise tweet classification and analysis is done [29]. Sentiment analysis is done on twitter data.…”

Context Representation and Fusion: Advancements and Opportunities

“…Creating a system that is open to new sensors at runtime will further complicate the process; however, it is the real essence of context-aware system to adapt with the changing environment [2]. In addition to a user’s physical world, where users perform different activities and the environment in which the user is; the cyber world where users interact in social media [25] and share their sentiments about different entities [26] is also an important context to be considered for understanding users’ intention, which eventually will help the system to understand the overall context of the user [2,15]. Moreover, in any domain there are rules and regulations that are followed, which are usually encoded as domain knowledge.…”