The phrase "aspect level" is correct and usable in written English.
It can be used in contexts related to analysis, evaluation, or discussion of specific components or dimensions of a subject.
Example: "When assessing the project's success, we need to consider the aspect level of stakeholder engagement."
Alternatives: "dimension level" or "component level".
Therefore, phrase level analysis is also known as aspect level analysis.
Sentiment analysis aggregated at aspect level is more informative than product level analysis, as shown in Fig. 1.
Aspect level classification or clustering news reports has been described in [18, 23] which categorizes the news reports into classes or categories for exploring at multiple depths of detail.
Based on the scope of the text, there are three levels of sentiment polarity categorization, namely the document level, the sentence level, and the entity and aspect level [26].
The document level concerns whether a document, as a whole, expresses negative or positive sentiment, while the sentence level deals with each sentence's sentiment categorization; The entity and aspect level then targets on what exactly people like or dislike from their opinions.
Outcomes: headache diary; PedMidas and CBCL 6-18 questionnadverseadveventsvents and unpleasant aspects; level of total self perceived satisfaction of the patient and the parents.
Based upon the significance of association between ECVP load and ICU outcome, we also showed that the ECVP load should be considered and corrected in two independent aspects, level and duration, because both played important pathophysiological roles.
Sentiment analysis is a classification problem, where sentiment can be analysed on document-level, sentence-level or aspect-level [19].
Through a detailed study of on-line tourism product reviews, we found these features and then model them in our extension, proposing the use of new and more complex NLP-based rules for the tasks of subjective and sentiment classification at the aspect-level.
We conclude that an appreciation of overlap both at the functional-level and at the design aspects-level allows simpler yet comprehensive implementations of RFID middlewares.
We would like to incorporate novelty detection in our future research and address aspect-level diversity as explored in TREC 2006 and 2007 Genomics Tracks (Hersh et al., 2006, 2007).
