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Aspect Oriented Sentiment Analysis on Customer Reviews on Restaurant Using the LDA and BERT Method

SN computer science 2023年第4期4卷 399页

作者： Lohith, C. Chandramouli, H. Balasingam, Udayabalan Arun Kumar, S. Department of Computer Science and Engineering Gopalan College of Engineering and Management Bengaluru India Department of Computer Science and Engineering East Point College of Engineering and Technology Bengaluru India Department of Information Science and Engineering East Point College of Engineering and Technology Bengaluru India Department of Computer Science and Engineering Nagarjuna College of Engineering and Technology Bengaluru India

This study presents a new approach for administering point-of-view-based assessment exams. The purpose of our ranking is to gain a sense of the best and most hilariously bad works of art. Given a collection of free-text clients, a specific object reviews. Our method begins with a handcrafted match to find viewpoints, use dependency courses in individual sentences. It then congregates by combining different notifications of a same location using measure of similarity based on the Word Net. Finally, it performs an each point of view obtains a score, which contributes to the overall score. A new assessment of a client’s reaction to a social occasion it is a part of it there is no need for any of that in our ideology express a seed word or space Data, as it merely makes use of an off-the-shelf word reference for evaluation we look at what makes people interested. Perceiving and rating points from online book reviews are the outcome of groundwork. We investigate the topic’s breadth. Diverse supply tendencies management approaches based on the multi sentence verification and interexamination work assessment of the rating are presented. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Aspect_modeling LDA Sentiment_analysis Topic_aspect_mapping Topic_modeling

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Voice Assisted Facial Emotion Recognition System For Blind Peoples With Tensorflow Model

Voice Assisted Facial Emotion Recognition System For Blind P...

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2024 IEEE International Students' Conference on Electrical, Electronics and computer science, SCEECS 2024

作者： Ashmad Ahemed, S. Jayakumar, D. Ifet College of Engineering Department of Computer Science and Engineering Villupuram India

ISBN: (纸本)9798350348460

This research project presents the development of a novel Voice-Assisted Facial Emotion Recognition System tailored to address the unique needs of blind individuals. Leveraging the power of deep learning and the TensorFlow framework, the system employs computer vision techniques to detect and interpret facial emotions, enabling blind users to comprehend the emotional cues of those they interact with. The project encompasses data collection, preprocessing, model training, and evaluation, resulting in a robust TensorFlow model capable of real-time emotion recognition from facial images. A voice assistant integrates seamlessly into the system, offering spoken feedback to users, thus enhancing their understanding of emotional contexts during social interactions. The system prioritizes user accessibility and privacy, ensuring a user-friendly interface and adherence to data security standards. Extensive testing and user feedback are essential components of the project, allowing for continuous improvement and optimization to meet the specific needs of blind individuals. This research offers a promising solution to empower the visually impaired community by providing them with a valuable tool for enhanced social interaction and emotional understanding. Real-World Application, Emphasize the practicality and real-world applicability of the system, showcasing how it can make a meaningful impact on the daily lives of blind individuals by helping them navigate social and emotional contexts more effectively. Multimodal Interaction, Highlight the multimodal nature of the system, which combines visual facial emotion recognition with voice-based interaction to provide a comprehensive and accessible user experience. © 2024 IEEE.

关键词： Convolutional Neural Network Emotion identification Tensorflow

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Career profiling based psychometric test for students

Career profiling based psychometric test for students

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Nagappan, G. Prasath Ravi, Gokul Prathipa, K. Saranya, V. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

The decision of what career to pursue after graduation is one of the most important one for every student because it affects the growth and development of their future. Due to many uncertainties while picking a career, students often end up selecting the incorrect one. The purpose of this project is to create a psychometric test that will identify a student’s skills and suggest career possibilities for them. They gain a good idea of their personality and the appropriate employment for them. It aids in understanding a person’s personality, interests, and ability in both professionals and students. Students can better understand their strengths and limitations thanks to this assessment. We will be able to classify the student’s career with even greater accuracy thanks to the questions on this psychometric test that are based on the nine intelligences. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Students

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Node to node communication security In IoT networks with hybrid cryptography and steganography system

Node to node communication security In IoT networks with hyb...

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Sreevidya, Medam Venkata Ramyadevi, R. Chamundeeswari, V. Vijaya Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

The Internet of Things refers to actual objects or items that have been integrated with sensors, algorithms, and a few other technologies to exchange information with other devices and networks online (IoT). As IOT devices are publicly available to everyone on the network, it is required to be conscious of security risks and dangers posed by cyberattacks;as a result, it should be guarded. Plain information is changed to encrypted information in cryptography before being delivered, and it is then converted back to plain text after receiving a response from the recipient. Steganography is the practice of encoding hidden information into an audio, video, picture, or text file. In this project, it is suggested that IoT network data be encrypted using cryptography, and that the encrypted message be concealed somewhere in a digital image through steganography. It is also suggested to enhance the number of bits that can be stored within a single picture pixel. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Cryptography

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Skill measuring test for preschoolers

Skill measuring test for preschoolers

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Nagappan, G. Narmatha, K. Nithiyasri, K.M. Sai Gayatri, S. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

Psychometric evaluation evaluates the information, abilities, capacity and persona trends of someone being assessed. Since many youngsters are joined in faculty earlier than they meet the specified age criteria, they lack the fundamental knowledge and information. This creates a susceptible base for them of their scholar life. In order to check their capacity to get promoted to better grade this psychometric check might be beneficial to get evaluation of the child’s intelligence. This check consists of five kinds of intelligence. They are Verbal or Linguistic Intelligence, Mathematical/Logistic Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence, Naturalistic Intelligence. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Interpersonal intelligence intrapersonal intelligence Linguistic intelligence Logical intelligence Logistic Intelligence Multiple intelligence Naturalistic intelligence Verbal Intelligence

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The Role of Metaverse Technology in Education: A Framework for Implementation and Future Research

The Role of Metaverse Technology in Education: A Framework f...

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2024 IEEE Students Conference on engineering and Systems, SCES 2024

作者： Sineka, P. Jothikumar, Karthikeyan Nivetha, V.M. Luckshika, M.K. Priyadharshini, P. Janani Ratthna, S.G. National Engineering College Department of Computer Science and Engineering TamilNadu India

ISBN: (纸本)9798350374711

In this article, our study aims to pioneer a transformative approach to online education by creating a Metaverse college environment. In this immersive 3D space, avatars fluidly represent both teachers and students, fundamentally altering the dynamics of virtual learning. Lectures transcend traditional boundaries through VR presentations, enriching engagement and understanding. Interactive quizzes inject a gamified element into assessments, fostering a dynamic and enjoyable learning journey. One of the standout features is the use of VR glasses for attendance tracking, ensuring precise reflection of real-world participation. This innovative fusion of cutting-edge technology and traditional teaching methodologies heralds a paradigm shift in remote education. Our platform is designed to provide students with an authentic college experience within the digital realm, fundamentally reshaping the landscape of virtual learning. By seamlessly integrating advanced technologies with tried-and-true educational practices, we aim to create an environment where students thrive and actively engage with course materials. This Metaverse college experience promises not only to enhance learning outcomes but also to redefine the possibilities of online education. Join us on this journey as we revolutionize the way we learn and teach in the digital age. © 2024 IEEE.

关键词： Virtual environments

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Detecting the violence from video using computer vision under 2dspatio temporal representations

Detecting the violence from video using computer vision unde...

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Srividhya, M. Ramyadevi, R. Vijaya Chamundeeswari, V. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

A current hot topic in computer vision is action recognition in videos, particularly for the detection of aggression. The complexity of the 2D + t data produced by the proliferation of videos by a security camera or television material is what makes this work interesting. Modern techniques learn using 3D neural network approaches, which require data to train to produce discriminating features. This research intends to address topics such as cutting-edge techniques for video violence detection, datasets for real-time video violence detection framework development, and discussion and identification of unresolved concerns in the given subject. To overcome these restrictions, we offer throughout this piece a technique for putting videos into categories for violence recognition with a traditional 2D CNN. The methods comprise two parts.: (I) From an input video, we first construct several 2D spatial-temporal representations, (II) According to speculation, the new representations will feed CNN’s test/training data. The methodology by combining the separate conclusions from the video’s various 2D spatial-temporal representations and the categorization decision is made. An experiment on publicly available datasets with violent video demonstrates the usefulness of the suggested approach. © 2024, CRC Press/Balkema. All rights reserved.

关键词： computer vision

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On-Tree Coconut Maturity Estimation and Age Prediction Using Machine Vision 1

On-Tree Coconut Maturity Estimation and Age Prediction Using...

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1st International Conference on Trends in engineering Systems and Technologies, ICTEST 2024

作者： Syamraj, B.S. Sasidharan, Sikha Arya, M.H. Hari Priya, V. Pranav, R. Mathew, Milan Georgy Providence College of Engineering Computer Science and Engineering Department Chengannur India

ISBN: (纸本)9798350307795

This work proposes an on-tree coconut maturity estimation and age prediction application using machine vision. It is an Android application made using Flutter that can be used to estimate the maturity of the coconut image that will be uploaded to the system. The system uses CNN for image classification purposes. In the Android application, there are two options for uploading the image of the coconut either from camera or gallery. On uploading the image, its corresponding maturity and age will be displayed on the screen. This approach also improves post-harvest quality standards as farmers can identify coconut at its right maturity and not over-matured. © 2024 IEEE.

关键词： computer vision

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Voice-Based Common Cold Detection 2

Voice-Based Common Cold Detection

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2nd International Conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Premnath Babu, Hariesh Ramiya Arsha Fahima, T. Kavithadevi, M.K. Thiagarajar College of Engineering Computer Science and Engineering Department Madurai India

ISBN: (纸本)9798350328202

The identification of health-related issues without invasive testing constitutes a pivotal facet of medical research and technological advancement. This paper attempts to establish a very efficient and precise means of detecting cold symptoms via voice recordings, by comparing various machine learning methodologies and deep learning methodologies such as Convolutional Neural Networks (CNNs) by analysing alterations in one's vocal patterns. The method involves collecting voice samples from people with and without cold symptoms. During the pre-processing stage, the vibrations and various characteristics in the voice are measured. These characteristics capture the unique traits associated with changes in voice quality caused by cold-related effects which serve as input to the models. Time-tested metrics such as Accuracy, the Confusion Matrix, and the F1-score were used for evaluations. Beyond the quantitative, this study embodies our aspiration to tap into the unique intricacies of voice for proactive cold detection. This approach can lay the foundation for unobtrusive and economically viable health-monitoring tools. To conclude, this paper helps us to detect cold symptoms by a voice recording of a human using machine learning and neural network techniques. © 2024 IEEE.

关键词： Convolutional neural networks

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Digital currency price prediction

Digital currency price prediction

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Julian, Anitha Rao, Bangale Sampath Kumar Chowdary, Pedavalli Mukesh Upendra, Narravula Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

Investments are one of the major sources of income in one’s life. The usual question that arises is which category one should invest in. In the market, there are many investment options such as stocks, cryptocurrencies, and mutual funds, but everyone who wants to invest normally expects high returns as well as security. That is what cryptocurrency does, since the future is not just for money, besides money, day-to-day operations and processes also depend on different factors. The proposed work uses machine learning algorithms for predicting the Crypto Currency price. A linear regression model is used to train the machine learning model with maximum efficiency and the model is implemented to predict Crypto Currency price. The model has been trained with a dataset containing the Crypto Currency exchanges which were provided by the user for the time with minute-by-minute updates. The proposed regression algorithm identifies with reasonable accuracy. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Python

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