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Hasteer, Nitasha
- Utility of Corpus based Approach in the Recognition of Opinionated Text
Authors
1 Department of Information Technology, Amity University, Noida - 201313, Uttar Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: The proposed work focuses on mining opinion word catalogue by using corpus based approach. The motive is to use different parts of speech to improve the classification of the sentiments. Methods/Statistical Analysis: The methodology involved in the proposed work incorporates both the sentiment orientation approach and machine learning approach. The various features like content – specific, content-free and other sentiment features have been used to classify the sentiments. The previous works in the field involved only some specific parts of speech, which have been replaced by the usage of nouns, adjectives, verbs and adverbs. In this approach an algorithm for calculation of sentiment feature has been proposed. Findings: The algorithm proposed in this work is more efficient in comparison to other existing work. In this work, since we have developed a corpus based approach amalgamating both the machine learning and semantic orientation approaches into a common skeleton, it improvises the classification method. Our projected method also incorporates the content-specific and content free features involved in the existing approaches. It also utilizes the infrequent and sentiment features in the semantic orientation approach. The proposed technique can be classified into three main modules: Acquiring of data, generation of features, followed by classification and evaluation. Application/ Improvements: The researches to be done in future can deal with other feature generation methods. Moreover the method can also be improved by making the modifications so that the feature classification can be done on quite large data sets. The method can further be implemented for multilingual languages to build a multilingual sentiment-based lexicon.Keywords
Corpus–based Approach, Opinionated Text, Sentiment Analysis, Sentiment Classification, Sentiment Features.- Individual Centric Framework for Quantifiable Attainment of CareerAspirations: An Indian Perspective
Authors
1 Amity School of Engineering and Technology, Amity University Uttar Pradesh, Sec-125, Noida, U.P-201313, IN
Source
Journal of Engineering Education Transformations, Vol 31, No 3 (2018), Pagination: 164-168Abstract
Focus of the Indian higher education system has been more job centric, thereby losing the value of learning. Limited learning eventually results into less employability. There has been a significant drop in the number of employable fresh graduates. Industry also claims that lot of resources are being utilized to convert raw resources into usable workforce. The various initiatives of the Indian government like Skill India clearly indicates that the need of the hour is therefore to restructure the academic learning process. The solution to the challenges being faced by the current learning process of the Indian higher education system is to adopt an individual centric outcome approach.This paper proposes an individual centric outcome based education (i-OBE) framework which is modified version of outcome based framework. This framework aims to enhance the outcome based education by integrating an individual centric approach throughout the execution of an academic programme in a stipulated time frame. The paper discusses the application of the proposed framework to the four-year undergraduate engineering degree. The framework efficacy has been tested by implementing it partially through a career assessment tool on 1215 subjects. Our findings reveal that the individual centric outcome approach results in quantifiable attainment of career aspirations as against traditional outcome based approach.Keywords
Outcome Based Education, Vertical Specific, Individual Centric Approach, Career Assessment.- Convolutional neural network architecture for detection and classification of diseases in fruits
Authors
1 Amity University, Noida 201 313, IN
Source
Current Science, Vol 122, No 11 (2022), Pagination: 1315-1320Abstract
Artificial intelligence is now becoming a part of people’s everyday lives. It can help farmers detect any disease in the early stage and take pre-emptive actions to save their crops and control disease spread, thus preventing crop wastage as well as increasing their income. The present study uses a combination of 13 convolutional neural network (CNN) models to classify five types of fruits and their leaf images into 41 classes, including diseased and healthy. Results show that the average accuracy of this CNN architecture is above 90% for all 13 individual models. One of the CNN models has been compared with three pre-trained models, i.e. MobileNet, DenseNet121 and InceptionV3 trained using the same dataset. It shows that the CNN architecture used in this study has higher accuracy while also being simple and easy to train.Keywords
Agriculture, Artificial Intelligence, Convolutional Neural Network, Deep Learning, Fruit and Leaf Disease DetectionReferences
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- Facilitating Learner Centric Decision Making for Massive Open Online Courses
Authors
Source
Journal of Engineering Education Transformations, Vol 35, No 3 (2022), Pagination: 123-132Abstract
Learners opt for MOOCs as it provides multiple benefits and the most important being that these courses can be accessed anytime and from anywhere with internet access. Learners can study their desired course at their convenience of time and desired pace. But as there are multiple options for them, they may get confused about selecting a course. This study highlights the findings of implementing the Analytical Hierarchical Process (AHP), a Multiple Criteria Decision Making (MCDM) technique used to choose the best option in case of multiple alternatives. Attributes were selected from literature and a survey was administered to learners. Responses were analyzed and courses were ranked based on their scores. From the analysis, we interpret that usefulness of the course in the University Curriculum is the most preferred criteria while selecting the course.Keywords
MOOC, Multiple Criteria Decision Making, Analytical Hierarchical Process.References
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- Roadmap to inclusive curriculum: a step towards Multidisciplinary Engineering Education for holistic development
Authors
1 Amity University Uttar Pradesh, Noida, India., IN
Source
Journal of Engineering Education Transformations, Vol 36, No 3 (2023), Pagination: 01-12Abstract
One of the key aspects to measure the prosperity of any nation in this global economy can be its leadership in technology & innovation. Engineering is applied everywhere; from the design and development of novel products and processes to providing solutions to complex challenges. Engineering education is therefore of key significance to a growing economy. With a prime focus on improving quality and providing holistic development of learners, developments are taking place worldwide in Engineering education & research. The term 'learners' indicate students and has been used interchangeably in the entire script.
Purpose: National Education Policy 2020 of the Government of India proposed reforms to the existing education framework of the country and emphasized on introducing multidisciplinary undergraduate programmes with multiple exit options. This study proposes an inclusive curriculum with different course types from multiple disciplines for an undergraduate engineering programme and articulates the relevance of the framework to foster holistic development.
Research Methodology: The study incorporates a structured design approach where inputs from senior leaders of 60 Universities offering undergraduate programmes formed the basis of the preliminary work. The academic framework was designed under the regulations and guidelines of the statutory body for technical programmes. On successful implementation, a research instrument was administered to a cohort of learners of an undergraduate engineering programme, and the data collected was then analysed.
Findings: From the findings, we infer that a multidisciplinary engineering programme would enhance research skills and enable the learners to selfmanage to a great extent along with developing their critical thinking skills. The results are statistically significant with p<0.05.
Implications of the Study: This study would help Universities and Higher Education Institutions to explore the possibilities of provisioning courses from diversified disciplines in an Engineering curriculum to promote multi-disciplinarity. The findings from the study would be beneficial to the learners to realize the potential of multidisciplinary education and accordingly pursue their career aspirations. The study provides an insight into competencies to be developed through the framework of a four-year undergraduate engineering programme thereby enabling Industry practitioners to reorient the job roles that thrive in the future.
Keywords
Multidisciplinary Education, Academic Curriculum, Holistic Education, Engineering Framework, Learners.References
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