{"version":"1.0","provider_name":"i40","provider_url":"https:\/\/i40.dit.uoi.gr","author_name":"Dimitris Mitrogiorgos","author_url":"https:\/\/i40.dit.uoi.gr\/index.php\/author\/dim_mitrogiorgos\/","title":"Natural Language Processing for Industry - i40","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"bvV14097Zw\"><a href=\"https:\/\/i40.dit.uoi.gr\/index.php\/en\/natural-language-processing-for-industry\/\">Natural Language Processing for Industry<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/i40.dit.uoi.gr\/index.php\/en\/natural-language-processing-for-industry\/embed\/#?secret=bvV14097Zw\" width=\"600\" height=\"338\" title=\"&#8220;Natural Language Processing for Industry&#8221; &#8212; i40\" data-secret=\"bvV14097Zw\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/i40.dit.uoi.gr\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Semester A Mandatory Remote Natural Language Processing for Industry The course integrates the principles of the circular economy within the context of Industry 4.0, focusing on advanced manufacturing, remanufacturing, smart cities, and sustainability. The curriculum is designed to equip students with theoretical knowledge and practical skills, enabling them to design circular economy chains for real-world applications. ECTS Credits 0 Weeks 0 Total Hours 0 Bibliography Sources 0 Learning Outcomes 1) Understanding and applying natural language processing (NLP) techniques in industry 2) Natural language data analysis and the extraction of useful information 3) Design and development of solutions that leverage modern NLP techniques 4) Group work on the development of natural language processing applications General Skills Adaptation to new situations Decision-making Independent Project Team Project Creative &amp; Inductive Thinking Project Planning and Management Syllabus\u200b Week Topic 1 Introduction to Natural Language Processing 2 Introduction to Machine Learning 3 Machine Learning Models for NLP 4 Project Topic Selection 5 Text Vectorization 6 Named Entity Recognition (NER) 7 Sentiment Analysis and Data Mining 8 Midterm Project Presentations 9 Key NLP Techniques 10 Large Language Models (LLMs) 11 Industrial NLP Applications \u2013 Virtual Assistants &amp; Chatbots 12 Industrial NLP Applications \u2013 Risk Detection, Security Certification 13 Final Project Presentations Evaluation &amp; Workload Semester Workload Evaluation Methods Activity Hours Lectures 39 Bibliographic Assignment 30 Project Implementation 31 Independent Study 30 Course Total 150 Individual Project Final Individual Project Presentation Team Project Final Team Project Presentation ActivityHoursLectures39 Bibliographic Assignment 30 Project Implementation 31 Independent Study 30Course Total150 Individual Project Final Individual Project Presentation Team Project Final Team Project Presentation Bibliography Recommended Textbooks Scientific Journals Natural language processing. Fundamentals of artificial intelligenceChowdhary, K., &amp; Chowdhary, K. R. (2020) Natural language processing with Python: analyzing text with the natural language toolkitBird, S., Klein, E., &amp; Loper, E. (2009) An introduction to machine learning. SpringerRebala, G., Ravi, A., &amp; Churiwala, S. (2019) Machine learning text classification model with NLP approach. Computational Linguistics and Intelligent SystemsRazno, M. (2019) The classification of the documents based on Word2Vec and 2-layer self organizing mapsYoshioka, K., &amp; Dozono, H. (2018) IEEE Computational intelligence magazine IEEE Intelligent System ACM\u0391udio speech and language processing Communications of ACM Natural language processing. Fundamentals of artificial intelligenceChowdhary, K., &amp; Chowdhary, K. R. (2020)Natural language processing with Python: analyzing text with the natural language toolkitBird, S., Klein, E., &amp; Loper, E. (2009)An introduction to machine learning. SpringerRebala, G., Ravi, A., &amp; Churiwala, S. (2019)Machine learning text classification model with NLP approach. Computational Linguistics and Intelligent SystemsRazno, M. (2019)The classification of the documents based on Word2Vec and 2-layer self organizing mapsYoshioka, K., &amp; Dozono, H. (2018)IEEE Computational intelligence magazineIEEE Intelligent SystemACM\u0391udio speech and language processing Communications of ACM Course Information Semester A\u0384 ECTS5 Minutes per Week 180 Type Specialized Knowledge Requirements \u2014 Course Format Synchronous 30% Asynchronous 70% Remote e-class Erasmus \u2713 Technologies &amp; Tools NLP AI LLMs Back to Courses Page \u03a0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b1 e-class \u03a5\u03bb\u03b9\u03ba\u03cc \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03b2\u03af\u03bd\u03c4\u03b5\u03bf, forum &amp; \u03b1\u03bd\u03b1\u03ba\u03bf\u03b9\u03bd\u03ce\u03c3\u03b5\u03b9\u03c2 \u03a0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf e-class"}