Online reviews are considered of an important indicator for users to decide on the activity they wish to do, whether it is watching a movie, going to a restaurant, or buying a product. It also serves businesses as it ...Online reviews are considered of an important indicator for users to decide on the activity they wish to do, whether it is watching a movie, going to a restaurant, or buying a product. It also serves businesses as it keeps tracking user feedback. The sheer volume of online reviews makes it difficult for a human to process and extract all significant information to make purchasing choices. As a result, there has been a trend toward systems that can automatically summarize opinions from a set of reviews. In this paper, we present a hybrid algorithm that combines an auto-summarization algorithm with a sentiment analysis (SA) algorithm, to offer a personalized user experiences and to solve the semantic-pragmatic gap. The algorithm consists of six steps that start with the original text document and generate a summary of that text by choosing the N most relevant sentences in the text. The tagged texts are then processed and then passed to a Naive Bayesian classifier along with their tags as training data. The raw data used in this paper belong to the tagged corpus positive and negative processed movie reviews introduced in [1]. The measures that are used to gauge the performance of the SA and classification algorithm for all test cases consist of accuracy, recall, and precision. We describe in details both the aspect of extraction and sentiment detection modules of our system.展开更多
Objective: To try to give an objective evaluation on the clinical research situation about acupuncture treatment of facial paralysis in the past 50 years and try to provide a possible evidence for clinical practice. M...Objective: To try to give an objective evaluation on the clinical research situation about acupuncture treatment of facial paralysis in the past 50 years and try to provide a possible evidence for clinical practice. Methods: All papers are searched and assessed according to the international standards and clinical epidemiology. Results: There is no systematic review (SR) on acupuncture treatment of facial palsy in a total of 1021 articles enlisted in the present paper. Comparing with the quantity of the descriptive studies and expert opinions (constituting 84.84%), that of the randomized controlled trials (RCTs) and clinical controlled trials (CCTs) is smaller (constituting 15.16%), besides, the quality of RCTs and CCTs is unsatisfactory. Conclusion: At present, the quantity and quality of studies with RCTs about acupuncture treatment of facial paralysis can’t meet the need of clinical practice, and in order to improve the therapeutic effect, a higher quality of RCTs and SR is required.展开更多
文摘Online reviews are considered of an important indicator for users to decide on the activity they wish to do, whether it is watching a movie, going to a restaurant, or buying a product. It also serves businesses as it keeps tracking user feedback. The sheer volume of online reviews makes it difficult for a human to process and extract all significant information to make purchasing choices. As a result, there has been a trend toward systems that can automatically summarize opinions from a set of reviews. In this paper, we present a hybrid algorithm that combines an auto-summarization algorithm with a sentiment analysis (SA) algorithm, to offer a personalized user experiences and to solve the semantic-pragmatic gap. The algorithm consists of six steps that start with the original text document and generate a summary of that text by choosing the N most relevant sentences in the text. The tagged texts are then processed and then passed to a Naive Bayesian classifier along with their tags as training data. The raw data used in this paper belong to the tagged corpus positive and negative processed movie reviews introduced in [1]. The measures that are used to gauge the performance of the SA and classification algorithm for all test cases consist of accuracy, recall, and precision. We describe in details both the aspect of extraction and sentiment detection modules of our system.
文摘Objective: To try to give an objective evaluation on the clinical research situation about acupuncture treatment of facial paralysis in the past 50 years and try to provide a possible evidence for clinical practice. Methods: All papers are searched and assessed according to the international standards and clinical epidemiology. Results: There is no systematic review (SR) on acupuncture treatment of facial palsy in a total of 1021 articles enlisted in the present paper. Comparing with the quantity of the descriptive studies and expert opinions (constituting 84.84%), that of the randomized controlled trials (RCTs) and clinical controlled trials (CCTs) is smaller (constituting 15.16%), besides, the quality of RCTs and CCTs is unsatisfactory. Conclusion: At present, the quantity and quality of studies with RCTs about acupuncture treatment of facial paralysis can’t meet the need of clinical practice, and in order to improve the therapeutic effect, a higher quality of RCTs and SR is required.
