In addition, we investigate whether the better performance of the 'sentiment strategy' can be attributed to the use of sentiment information or to the COP approach.
Sentiment categorization is essentially a classification problem, where features that contain opinions or sentiment information should be identified before the classification.
This content serves as an important source of on-line medical opinions, information and sentiments relating to particular drugs and events.
They could help communicate local information, report residents' sentiments back to the local authority and set an example through their helpful behaviour, the report adds.
In the West, we often describe this kind of governmental control of information with pejorative sentiments and, just as often, we fly the flag of the First Amendment with more than a certain arrogance.
The PI (ZM) and research manager (AB) have extensive experience handling such delicate questions and can steer conversations to get maximum information without hurting sentiments.
Micro-task Crowdsourcing has been used for different purposes: creating training data for machine learning algorithms, relevance judgments for evaluation of information systems, sentiment analysis, language translation, etc.
We provide all acronyms and abbreviations and further information regarding sentiment dictionaries in Section 2.1.
Feasibility of the developed data quality management-tool was validated in a business context, in which the company utilised data quality information for sentiment analysis of tweets.
The aim of our approach is to examine whether information in sentiment can be used in a COP-based approach9 and how our 'sentiment strategy' performs against various benchmark strategies.
