Online Reviews Have Become An Important Source Of Information For Users Before Making An Informed Purchase Decision. Early Reviews Of A Product Tend To Have A High Impact On The Subsequent Product Sales. In This Paper, We Take The Initiative To Study The Behaviour Characteristics Of Early Reviewers Through Their Posted Reviews On Two Real-world Large E-commerce Platforms, I.e., Amazon And Yelp. In Specific, We Divide Product Lifetime Into Three Consecutive Stages, Namely Early, Majority And Laggards. A User Who Has Posted A Review In The Early Stage Is Considered As An Early Reviewer. We Quantitatively Characterize Early Reviewers Based On Their Rating Behaviours, The Helpfulness Scores Received From Others And The Correlation Of Their Reviews With Product Popularity. We Have Found That (1) An Early Reviewer Tends To Assign A Higher Average Rating Score; And (2) An Early Reviewer Tends To Post More Helpful Reviews. Our Analysis Of Product Reviews Also Indicates That Early Reviewers’ Ratings And Their Received Helpfulness Scores Are Likely To Influence Product Popularity. By Viewing Review Posting Process As A Multiplayer Competition Game, We Propose A Novel Margin-based Embedding Model For Early Reviewer Prediction. Extensive Experiments On Two Different E-commerce Datasets Have Shown That Our Proposed Approach Outperforms A Number Of Competitive Baselines.
Recognizing Ancient Tamil Inscription Characters Enable Archeologists To Reveal Historical Events In Ancient Sri Lanka. Currently, This Is Done By The Archaeology Experts With A Huge Effort. The Inefficiency Of This Manual Procedure Will Negatively Impact On The Future Research In Field Of Archaeology. This Research Involves In Developing An Application With Optical Character Recognition (OCR) Functionality To Recognize Ancient Tamil Inscription. This Paper Focus On The OCR Module Of The Application. OCR Module Comprises Of The Technologies Of Artificial Neural Network (ANN) And Convolutional Neural Network (CNN). Experiments Were Carried Out To Evaluate The Recognition Rate Of The Two OCR Technologies Which Performs On Train Data, Test Data (preprocessed) And Test Data (real Images). After Evaluating Each OCR Solution, CNN Was Selected As The Best Resulted OCR Solution. Lack Of Data Is The Main Limitation Of This Research And It Will Be Highly Impacted On The OCR Accuracy.
In The Modern, Highly Technological World, It Is Acknowledged That People With Visual Impairments, Whose Main Issue Is Social Isolation, Need To Be Able To Live Independently. Visually Impaired People Experience Difficulties And Are At A Disadvantage Because They Lack The Most Visual Information, Which Is The Information They Miss The Most, In Their Environment. Visually Challenged People Can Be Aided With The Use Of Cutting-edge Technology. They Suffer In Strange Circumstances With No Manual Assistance. Since Most Tasks Are Based On Visual Information, People Who Are Blind Are At A Disadvantage Because They Lack The Necessary Information About The Environment. It Is Possible To Extend The Assistance Provided To People With Visual Impairment With The Most Recent Advancements In Inclusive Technology. Using Image And Text Recognition, Machine Learning, And Artificial Intelligence, This Project Aims To Assist Visually Impaired Individuals. The Concept Is Implemented By Means Of A Desktop Application That Focuses On Voice Assistant, Image Recognition, Google Search, To-do List, Weather, Screen Shots, Directions On A Map Chat Bot, Capture Photo, And Other Features. The App Can Assist With Object Recognition And Distance Estimation Using Voice Commands Using YOLOV4 Algorithm. Blind People Will Be Able To Use The Technology's Features And Interact With The Environment In A More Effective Manner Thanks To This Method.
In This Paper We Describe A Methodology And An Algorithm To Estimate The Real-time Age, Gender, And Emotion Of A Human By Analysing Of Face Images On A Webcam. Here We Discuss The CNN Based Architecture To Design A Real-time Model. Emotion, Gender And Age Detection Of Facial Images In Webcam Play An Important Role In Many Applications Like Forensics, Security Control, Data Analysis, Video Observation And Humancomputer Interaction. In This Paper We Present Some Method & Techniques Such As PCA,LBP, SVM, VIOLA-JONES, HOG Which Will Directly Or Indirectly Used To Recognize Human Emotion, Gender And Age Detection In Various Conditions.
Poor Nutrition Can Lead To Reduced Immunity, Increased Susceptibility To Disease, Impaired Physical And Mental Development, And Reduced Productivity. A Conversational Agent Can Support People As A Virtual Coach, However Building Such Systems Still Have Its Associated Challenges And Limitations. This Paper Describes The Background And Motivation For Chatbot Systems In The Context Of Healthy Nutrition Recommendation. We Discuss Current Challenges Associated With Chatbotapplication, We Tackled Technical, Theoretical, Behavioural, And Social Aspects Of The Challenges. We Then Propose A Pipeline To Be Used As Guidelines By Developers To Implement Theoretically And Technically Robust Chatbot Systems
Poor Nutrition Can Lead To Reduced Immunity, Increased Susceptibility To Disease, Impaired Physical And Mental Development, And Reduced Productivity. A Conversational Agent Can Support People As A Virtual Coach, However Building Such Systems Still Have Its Associated Challenges And Limitations. This Paper Describes The Background And Motivation For Chatbot Systems In The Context Of Healthy Nutrition Recommendation. We Discuss Current Challenges Associated With Chatbotapplication, We Tackled Technical, Theoretical, Behavioural, And Social Aspects Of The Challenges. We Then Propose A Pipeline To Be Used As Guidelines By Developers To Implement Theoretically And Technically Robust Chatbot Systems.
Exponential Growth Of Fake ID Cards Generation Leads To Increased Tendency Of Forgery With Severe Security And Privacy Threats. University ID Cards Are Used To Authenticate Actual Employees And Students Of The University. Manual Examination Of ID Cards Is A Laborious Activity, Therefore, In This Paper, We Propose An Effective Automated Method For Employee/student Authentication Based On Analyzing The Cards. Additionally, Our Method Also Identifies The Department Of Concerned Employee/student. For This Purpose, We Employ Different Image Enhancement And Morphological Operators To Improve The Appearance Of Input Image Better Suitable For Recognition. More Specifically, We Employ Median Filtering To Remove Noise From The Given Input Image.
Social Connections Evolved Within Local Cultural Boundaries Suchs As Geosspatials Areas Prior To The Invention Of Informations Communicationstechnologys (ICT). The Recent Advancements In Communication Technologies Have Significantly Surpassed The Old Communications' Time And Spatial Limits. These Social Technologiess Have Ushereds In A News Eras Of User-generated Content, Online Human Networks, And Rich Data On Human Behaviour. However, The Misuses Of Socials Technologiess Such As Socialsmedias (SM) Stages Has Resulted In A New Type Of Online Anger And Violence. This Research Highlights A Novels Ways Of Exhibiting Hostile Conduct On Social Media Websites. The Reasons For Developing Prediction Models To Combat Aggressive Behaviour In SM Are Also Discussed. We Examine Cyberbullyings Predictionsmodelss In Depth And Identify The Major Challenges That Arise While Building Cyberbullying Predictionsmodelssin SM. This Paper Gives A Summarys Of The General Procedure For Detecting Cyberbullying And, More Crucially, The Technique. Despites The Facts That The Data Collecting And Feature Engineering Processes Have Been Detailed, The Focus Is Mostly On Feature Selection Methods And Then The Application Of Various Machine Learning Algorithms To Anticipate Cyberbullyingbehaviours. Finally, The Concerns And Obstacles Have Been Identified, Presenting New Study Directions For Scholars To Investigate.
Prediction Of Academic Performance Of Students Beforehand Provides Scope To Universities To Lower Their Dropout Rate And Help The Students In Improving Their Performance. In This Field, Research Is Being Done To Find Out Which Algorithm Is Best To Use And Which Features Should Be Considered While Predicting The Academic Performance Of Students. This Kind Of Research Work Has Been Increasing Over The Years. This Paper Performs A Survey On The Techniques Used In Various Research Papers For Academic Performance Prediction And Also Point Out The Limitations If Any, In The Methodology Used.
Prediction Of Academic Performance Of Students Beforehand Provides Scope To Universities To Lower Their Dropout Rate And Help The Students In Improving Their Performance. In This Field, Research Is Being Done To Find Out Which Algorithm Is Best To Use And Which Features Should Be Considered While Predicting The Academic Performance Of Students. This Kind Of Research Work Has Been Increasing Over The Years. This Paper Performs A Survey On The Techniques Used In Various Research Papers For Academic Performance Prediction And Also Point Out The Limitations If Any, In The Methodology Used.
Poor Nutrition Can Lead To Reduced Immunity, Increased Susceptibility To Disease, Impaired Physical And Mental Development, And Reduced Productivity. A Conversational Agent Can Support People As A Virtual Coach, However Building Such Systems Still Have Its Associated Challenges And Limitations. This Paper Describes The Background And Motivation For Chatbot Systems In The Context Of Healthy Nutrition Recommendation. We Discuss Current Challenges Associated With Chatbotapplication, We Tackled Technical, Theoretical, Behavioural, And Social Aspects Of The Challenges. We Then Propose A Pipeline To Be Used As Guidelines By Developers To Implement Theoretically And Technically Robust Chatbot Systems.
Prediction Of Academic Performance Of Students Beforehand Provides Scope To Universities To Lower Their Dropout Rate And Help The Students In Improving Their Performance. In This Field, Research Is Being Done To Find Out Which Algorithm Is Best To Use And Which Features Should Be Considered While Predicting The Academic Performance Of Students. This Kind Of Research Work Has Been Increasing Over The Years. This Paper Performs A Survey On The Techniques Used In Various Research Papers For Academic Performance Prediction And Also Point Out The Limitations If Any, In The Methodology Used. Prediction Of Academic Performance Of Students Beforehand Provides Scope To Universities To Lower Their Dropout Rate And Help The Students In Improving Their Performance. In This Field, Research Is Being Done To Find Out Which Algorithm Is Best To Use And Which Features Should Be Considered While Predicting The Academic Performance Of Students. This Kind Of Research Work Has Been Increasing Over The Years. This Paper Performs A Survey On The Techniques Used In Various Research Papers For Academic Performance Prediction And Also Point Out The Limitations If Any, In The Methodology Used.
Prediction Of Academic Performance Of Students Beforehand Provides Scope To Universities To Lower Their Dropout Rate And Help The Students In Improving Their Performance. In This Field, Research Is Being Done To Find Out Which Algorithm Is Best To Use And Which Features Should Be Considered While Predicting The Academic Performance Of Students. This Kind Of Research Work Has Been Increasing Over The Years. This Paper Performs A Survey On The Techniques Used In Various Research Papers For Academic Performance Prediction And Also Point Out The Limitations If Any, In The Methodology Used.
Fake Review Detection And Its Elimination From The Given Dataset Using Different Natural Language Processing (NLP) Techniques Is Important In Several Aspects. In This Article, The Fake Review Dataset Is Trained By Applying Two Different Machine Learning (ML) Models To Predict The Accuracy Of How Genuine Are The Reviews In A Given Dataset. The Rate Of Fake Reviews In Ecommerce Industry And Even Other Platforms Is Increasing When Depend On Product Reviews For The Item Found Online On Different Websites And Applications. The Products Of The Company Were Trusted Before Making A Purchase. So This Fake Review Problem Must Be Addressed So That These Large E-commerce Industries Such As Flipkart, Amazon, Etc. Can Rectify This Issue So That The Fake Reviewers And Spammers Are Eliminated To Prevent Users From Losing Trust On Online Shopping Platforms. This Model Can Be Used By Websites And Applications With Few Thousands Of Users Where It Can Predict The Authenticity Of The Review Based On Which The Website Owners Can Take Necessary Action Towards Them. This Model Is Developed Using ‘NAIVE BAYES’. By Applying These Models One Can Know The Number Of Spam Reviews On A Website Or Application Instantly. To Counter Such Spammers, A Sophisticated Model Is Required In Which A Need To Be Trained On Millions Of Reviews. In This Work ”amazon Yelp Dataset” Is Used To Train The Models And Its Very Small Dataset Is Used For Training On A Very Small Scale And Can Be Scaled To Get High Accuracy And Flexibility.
The Intent Recognition And Natural Language Understanding Of Multi-turn Dialogue Is Key For The Commercialization Of Chatbots.Chatbots Are Mainly Used For The Processing Of Specific Tasks, And Can Introduce Products To Customers Or Solve Related Problems, Thus Saving Human Resources. Text Sentiment Recognition Enables A Chatbot To Know The User’s Emotional State And Select The Best Response, Which Is Important In Medical Care. In This Study, We Combined The Multiturn Dialogue Model And Sentiment Recognition Model To Develop A Chatbot, That Is Designed For Used In Daily Conversations Rather Than For Specific Tasks. Thus, The Chatbot Has The Ability To Provide The Robot’s Emotions As Feedback While Talking With A User. Moreover, It Can Exhibit Different Emotional Reactions Based On The Content Of The User’s Conversation.
Intelligent Personal Assistant (IPA) Is A Software Agent Performing Tasks On Behalf Of An Human Or Individual L Based On Commands Or Questions Which Are Similar To Chat Bots. They Are Also Referred As Intelligent Virtual Assistant Which Interprets Human Speech And Respond Via Synthesized Voices. IPAs And IVAs Finds Their Usage In Various Applications Such As Home Automation, Manage To-do Tasks And Media Playback Through Voice. This Paper Aims To Propose Speech Recognition Systems And Dealing With Creating A Virtual Personal Assistant. The Existing System Serves On The Internet And Is Maintained By The Third Party. This Application Shall Protect Personal Data From Others And Use The Local Database, Speech Recognition And Synthesiser. A Parser Named SURR(Semantic Unification And Reference Resolution) Is Employed To Recognise The Speech. Synthesizer Uses Text To Phoneme. ‘DNN ALGORITHM’ Is Used.
Poor Nutrition Can Lead To Reduced Immunity, Increased Susceptibility To Disease, Impaired Physical And Mental Development, And Reduced Productivity. A Conversational Agent Can Support People As A Virtual Coach, However Building Such Systems Still Have Its Associated Challenges And Limitations. This Paper Describes The Background And Motivation For Chatbot Systems In The Context Of Healthy Nutrition Recommendation. We Discuss Current Challenges Associated With Chatbotapplication, We Tackled Technical, Theoretical, Behavioural, And Social Aspects Of The Challenges. We Then Propose A Pipeline To Be Used As Guidelines By Developers To Implement Theoretically And Technically Robust Chatbot Systems.
Voice Control Is A Major Growing Feature That Change The Way People Can Live. The Voice Assistant Is Commonly Being Used In Smartphones And Laptops. AI-based Voice Assistants Are The Operating Systems That Can Recognize Human Voice And Respond Via Integrated Voices. This Voice Assistant Will Gather The Audio From The Microphone And Then Convert That Into Text, Later It Is Sent Through GTTS (Google Text To Speech). GTTS Engine Will Convert Text Into Audio File In English Language, Then That Audio Is Played Using Play Sound Package Of Python Programming Language.
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