Writing style is the essential issue even at the early stage the beginners who learnto read and write have to confront.From the part-Notes on reading and writing beforethe part of exercises of each lesson in English B...Writing style is the essential issue even at the early stage the beginners who learnto read and write have to confront.From the part-Notes on reading and writing beforethe part of exercises of each lesson in English Book V-VⅢ we can come to see that the ed-itors attempt to mix the content(ideas)with the corresponding techniques.This is展开更多
A new generation of "Web literate"university students will soon be getting most,if not all, of their course material from univer-sity websites, according to the Australian de-veloper of a CD-ROM. Dr Colin Py...A new generation of "Web literate"university students will soon be getting most,if not all, of their course material from univer-sity websites, according to the Australian de-veloper of a CD-ROM. Dr Colin Pyan, a senior lecturer in psy-chology at James Cook University,Townsville, has developed a CD that has be-展开更多
The Bibliotheca Alexandrina (BA) has been developing and putting to use a workflow for turning printed books into digital books as its contribution to the building of a Universal Digital Library. This workflow is a pr...The Bibliotheca Alexandrina (BA) has been developing and putting to use a workflow for turning printed books into digital books as its contribution to the building of a Universal Digital Library. This workflow is a process consisting of multiple phases, namely, scanning, image processing, OCR, digital archiving, document encoding, and publishing. Over the past couple of years, the BA has defined procedures and special techniques for the scanning, processing, OCR and publishing, especially of Arabic books. This workflow has been automated, allowing the governance of the different phases and making possible the production of 18000 books so far. The BA has also designed and implemented a framework for the encoding of digital books that allows publishing as well as a software system for managing the creation, maintenance, and publishing of the overall digital repository.展开更多
Overall, General, Organic, and Biological Chemistry is a very useful text to support a twosemester undergraduate course series in chemistry for health sciences students. Its strengths are the use of the P.A.V.E. way t...Overall, General, Organic, and Biological Chemistry is a very useful text to support a twosemester undergraduate course series in chemistry for health sciences students. Its strengths are the use of the P.A.V.E. way to student learning applications. It is very obvious that the author has the background and the preparation of the student taking the course(s) in mind when she was writing the textbook.展开更多
As Natural Language Processing(NLP)continues to advance,driven by the emergence of sophisticated large language models such as ChatGPT,there has been a notable growth in research activity.This rapid uptake reflects in...As Natural Language Processing(NLP)continues to advance,driven by the emergence of sophisticated large language models such as ChatGPT,there has been a notable growth in research activity.This rapid uptake reflects increasing interest in the field and induces critical inquiries into ChatGPT’s applicability in the NLP domain.This review paper systematically investigates the role of ChatGPT in diverse NLP tasks,including information extraction,Name Entity Recognition(NER),event extraction,relation extraction,Part of Speech(PoS)tagging,text classification,sentiment analysis,emotion recognition and text annotation.The novelty of this work lies in its comprehensive analysis of the existing literature,addressing a critical gap in understanding ChatGPT’s adaptability,limitations,and optimal application.In this paper,we employed a systematic stepwise approach following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)framework to direct our search process and seek relevant studies.Our review reveals ChatGPT’s significant potential in enhancing various NLP tasks.Its adaptability in information extraction tasks,sentiment analysis,and text classification showcases its ability to comprehend diverse contexts and extract meaningful details.Additionally,ChatGPT’s flexibility in annotation tasks reducesmanual efforts and accelerates the annotation process,making it a valuable asset in NLP development and research.Furthermore,GPT-4 and prompt engineering emerge as a complementary mechanism,empowering users to guide the model and enhance overall accuracy.Despite its promising potential,challenges persist.The performance of ChatGP Tneeds tobe testedusingmore extensivedatasets anddiversedata structures.Subsequently,its limitations in handling domain-specific language and the need for fine-tuning in specific applications highlight the importance of further investigations to address these issues.展开更多
In machine learning,sentiment analysis is a technique to find and analyze the sentiments hidden in the text.For sentiment analysis,annotated data is a basic requirement.Generally,this data is manually annotated.Manual...In machine learning,sentiment analysis is a technique to find and analyze the sentiments hidden in the text.For sentiment analysis,annotated data is a basic requirement.Generally,this data is manually annotated.Manual annotation is time consuming,costly and laborious process.To overcome these resource constraints this research has proposed a fully automated annotation technique for aspect level sentiment analysis.Dataset is created from the reviews of ten most popular songs on YouTube.Reviews of five aspects—voice,video,music,lyrics and song,are extracted.An N-Gram based technique is proposed.Complete dataset consists of 369436 reviews that took 173.53 s to annotate using the proposed technique while this dataset might have taken approximately 2.07 million seconds(575 h)if it was annotated manually.For the validation of the proposed technique,a sub-dataset—Voice,is annotated manually as well as with the proposed technique.Cohen’s Kappa statistics is used to evaluate the degree of agreement between the two annotations.The high Kappa value(i.e.,0.9571%)shows the high level of agreement between the two.This validates that the quality of annotation of the proposed technique is as good as manual annotation even with far less computational cost.This research also contributes in consolidating the guidelines for the manual annotation process.展开更多
文摘Writing style is the essential issue even at the early stage the beginners who learnto read and write have to confront.From the part-Notes on reading and writing beforethe part of exercises of each lesson in English Book V-VⅢ we can come to see that the ed-itors attempt to mix the content(ideas)with the corresponding techniques.This is
文摘A new generation of "Web literate"university students will soon be getting most,if not all, of their course material from univer-sity websites, according to the Australian de-veloper of a CD-ROM. Dr Colin Pyan, a senior lecturer in psy-chology at James Cook University,Townsville, has developed a CD that has be-
文摘The Bibliotheca Alexandrina (BA) has been developing and putting to use a workflow for turning printed books into digital books as its contribution to the building of a Universal Digital Library. This workflow is a process consisting of multiple phases, namely, scanning, image processing, OCR, digital archiving, document encoding, and publishing. Over the past couple of years, the BA has defined procedures and special techniques for the scanning, processing, OCR and publishing, especially of Arabic books. This workflow has been automated, allowing the governance of the different phases and making possible the production of 18000 books so far. The BA has also designed and implemented a framework for the encoding of digital books that allows publishing as well as a software system for managing the creation, maintenance, and publishing of the overall digital repository.
文摘Overall, General, Organic, and Biological Chemistry is a very useful text to support a twosemester undergraduate course series in chemistry for health sciences students. Its strengths are the use of the P.A.V.E. way to student learning applications. It is very obvious that the author has the background and the preparation of the student taking the course(s) in mind when she was writing the textbook.
文摘As Natural Language Processing(NLP)continues to advance,driven by the emergence of sophisticated large language models such as ChatGPT,there has been a notable growth in research activity.This rapid uptake reflects increasing interest in the field and induces critical inquiries into ChatGPT’s applicability in the NLP domain.This review paper systematically investigates the role of ChatGPT in diverse NLP tasks,including information extraction,Name Entity Recognition(NER),event extraction,relation extraction,Part of Speech(PoS)tagging,text classification,sentiment analysis,emotion recognition and text annotation.The novelty of this work lies in its comprehensive analysis of the existing literature,addressing a critical gap in understanding ChatGPT’s adaptability,limitations,and optimal application.In this paper,we employed a systematic stepwise approach following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)framework to direct our search process and seek relevant studies.Our review reveals ChatGPT’s significant potential in enhancing various NLP tasks.Its adaptability in information extraction tasks,sentiment analysis,and text classification showcases its ability to comprehend diverse contexts and extract meaningful details.Additionally,ChatGPT’s flexibility in annotation tasks reducesmanual efforts and accelerates the annotation process,making it a valuable asset in NLP development and research.Furthermore,GPT-4 and prompt engineering emerge as a complementary mechanism,empowering users to guide the model and enhance overall accuracy.Despite its promising potential,challenges persist.The performance of ChatGP Tneeds tobe testedusingmore extensivedatasets anddiversedata structures.Subsequently,its limitations in handling domain-specific language and the need for fine-tuning in specific applications highlight the importance of further investigations to address these issues.
文摘In machine learning,sentiment analysis is a technique to find and analyze the sentiments hidden in the text.For sentiment analysis,annotated data is a basic requirement.Generally,this data is manually annotated.Manual annotation is time consuming,costly and laborious process.To overcome these resource constraints this research has proposed a fully automated annotation technique for aspect level sentiment analysis.Dataset is created from the reviews of ten most popular songs on YouTube.Reviews of five aspects—voice,video,music,lyrics and song,are extracted.An N-Gram based technique is proposed.Complete dataset consists of 369436 reviews that took 173.53 s to annotate using the proposed technique while this dataset might have taken approximately 2.07 million seconds(575 h)if it was annotated manually.For the validation of the proposed technique,a sub-dataset—Voice,is annotated manually as well as with the proposed technique.Cohen’s Kappa statistics is used to evaluate the degree of agreement between the two annotations.The high Kappa value(i.e.,0.9571%)shows the high level of agreement between the two.This validates that the quality of annotation of the proposed technique is as good as manual annotation even with far less computational cost.This research also contributes in consolidating the guidelines for the manual annotation process.
