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    • Sentiment Analysis

    Sentiment Analysis Courses Online

    Learn sentiment analysis for natural language processing. Understand how to analyze opinions and emotions in text data.

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    Explore the Sentiment Analysis Course Catalog

    • G

      Google Cloud

      Create Image Captioning Models - 한국어

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Computer Vision, Applied Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      التسويق العضوي: استفد من مجموعات الفيسبوك للشركات الصغيرة

      Skills you'll gain: Facebook, Customer Analysis, Target Audience, Social Media, Social Media Marketing, Business Marketing, Social Media Management, Marketing Strategies, Content Creation, Drive Engagement, Business Planning

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Crie seu primeiro funil de conversão e CRM com Hubspot

      Skills you'll gain: HubSpot CRM, Customer Relationship Management (CRM) Software, Sales Process, Sales Pipelines, Customer Relationship Management, Closing (Sales), Sales Strategy, Organizational Skills, Relationship Management

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Maryland, College Park

      New Map for Product Managers: Rulesets for Global Business

      Skills you'll gain: Global Marketing, International Relations, International Finance, Cultural Sensitivity, Business Risk Management, Market Dynamics, Economics, Business Strategy, Political Sciences, Supply Chain Management, Market Analysis, Brand Management

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      Universidades Anáhuac

      Visualización de datos efectiva

      Skills you'll gain: Interactive Data Visualization, Infographics, Data Storytelling, Data Visualization Software, User Experience Design, Multimedia, Dashboard, Data Analysis, Information Architecture, Timelines, Collaborative Software, Design Elements And Principles

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Create Image Captioning Models - 繁體中文

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploit Development, Malware, & Defensive Strategies

      Skills you'll gain: Penetration Testing, Malware Protection, Network Monitoring, Object Oriented Programming (OOP), Cybersecurity, Network Security, Network Protocols, Network Analysis, Vulnerability Assessments, Scripting, Remote Access Systems, Python Programming, Command-Line Interface

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Lean Six Sigma Green Belt Training

      Skills you'll gain: Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Lean Manufacturing, Kaizen Methodology, Statistical Analysis, Process Improvement, Process Capability, Quality Management, Project Management, Root Cause Analysis, Customer Analysis, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Responsible AI - 한국어

      Skills you'll gain: Data Ethics, Accountability, Business Ethics, Artificial Intelligence, Regulatory Compliance, Governance, Organizational Strategy, Ethical Standards And Conduct, Decision Making

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Responsible AI - Deutsch

      Skills you'll gain: Data Ethics, Accountability, Artificial Intelligence, Compliance Training, Governance, Regulatory Compliance, Business Ethics, Ethical Standards And Conduct, Decision Making

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Créer un Business Model Canvas avec Miro

      Skills you'll gain: Business Modeling, Presentations, Collaborative Software, Business Architecture, Data Visualization, Entrepreneurship, Value Propositions, Customer Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      CyberSec First Responder (CFR-310)

      Skills you'll gain: Incident Response, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Modeling, Vulnerability Scanning, Threat Detection, Intrusion Detection and Prevention, Application Security, Penetration Testing, Network Security, Malware Protection, Network Analysis

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular sentiment analysis courses

    • Create Image Captioning Models - 한국어: Google Cloud
    • التسويق العضوي: استفد من مجموعات الفيسبوك للشركات الصغيرة: Coursera Project Network
    • Crie seu primeiro funil de conversão e CRM com Hubspot: Coursera Project Network
    • New Map for Product Managers: Rulesets for Global Business: University of Maryland, College Park
    • Visualización de datos efectiva: Universidades Anáhuac
    • Create Image Captioning Models - 繁體中文: Google Cloud
    • Exploit Development, Malware, & Defensive Strategies: Packt
    • Lean Six Sigma Green Belt Training: Simplilearn
    • Introduction to Responsible AI - 한국어: Google Cloud
    • Introduction to Responsible AI - Deutsch: Google Cloud

    Frequently Asked Questions about Sentiment Analysis

    Sentiment analysis is the use of computer software to identify opinions expressed in text and classify them, for example as positive, negative, or neutral. These applications can provide very important data for businesses that need to monitor perceptions of their products or brands on social media and other online channels, as well as for organizations seeking to understand public opinion about prominent figures, issues, or current events.

    Sentiment analysis is one of the most common applications of natural language processing (NLP), which is the use of artificial intelligence (AI) and related algorithmic approaches to allow computers to understand, interpret, and even communicate using human language. Sentiment analysis uses machine learning algorithms and deep learning approaches using artificial neural networks to conduct the machine translation and analysis of text, typically using TensorFlow or Python programming.‎

    Sentiment analysis and other natural language processing (NLP) skills are a valuable asset for careers in data science, with a growing number of businesses and other organizations looking to take advantage of this technology to help understand their customers or the general public. From conducting analysis of brand perceptions on social media to creating chatbots that can understand and respond appropriately to users’ emotions, sentiment analysis can be harnessed for an expanding range of emerging applications.

    An understanding of how to use the insights generated by sentiment analysis is also important for today’s digital marketing professionals, who need to understand how their brands and products are being discussed on social media networks like Twitter, Facebook, and Instagram and adjust their communications strategies appropriately. According to the Bureau of Labor Statistics, marketing managers earned a median annual salary of $135,900 in 2019, and “advertising managers who can navigate the digital world should have the best prospects.”‎

    Yes! There are a wealth of opportunities to learn about all kinds of data science skills on Coursera, including courses and Specializations spanning multiple courses about natural language processing (NLP) and sentiment analysis. You can learn from top-ranked institutions like University of Washington, University of Michigan, and deeplearning.ai, or by completing step-by-step tutorials alongside experienced instructors with Coursera’s Guided Projects. Regardless of how you choose to learn, taking courses online lets you build valuable skills in sentiment analysis on a flexible schedule that fits into your existing studies or career.‎

    People who are native American English speakers—or speak the language native to the country they'll be working in—are typically best suited for sentiment analysis roles when evaluating social media posts and consumer reviews. People who have fairly advanced technical skills, such as programming and machine learning can also do well in sentiment analysis roles. People who enjoy looking at data sets and uncovering patterns, as well as those who enjoy solving complex problems can typically perform well in sentiment analysis. Additionally, those who enjoy using social media and who are comfortable with apps can be well suited for these types of roles.‎

    If you want to be able to review social media posts to determine if customers are happy with products or the performance of customer service agents, learning sentiment analysis could be right for you. It’s mainly used in business when business owners and managers want to know more about customer opinions than can be seen on the surface. It’s a type of natural language processing that can also be right for you if you’re interested in AI. It may also be helpful for you if you want to know what your customers think of your other business practices, such as your prices.‎

    Data science, AI, and algorithm research are three common career paths for someone in sentiment analysis. These fields all use this type of machine learning to reveal patterns. Investment analysts and statisticians are also common careers for people in sentiment analysis. These skills can also typically be applied to positions like business intelligence analysis, investor relations analysis, and workforce science. Additionally, statisticians and entrepreneurs are career paths that someone who has studied sentiment analysis could pursue.‎

    Machine learning, AI, and natural language processing are some topics you can study that are related to sentiment analysis. Python, TensorFlow, and quanteda are some computer programs you could learn that are related to sentiment analysis. You could also learn about text mining and sequence models that use tools like attention models, recurrent neural networks, gated recurrent units (GRUs), and long short-term memory (LSTM) to answer sentiment analysis questions. Additionally, topics like marketing analysis and psychology can be related to this topic if you plan to pursue work in the marketing field.‎

    Online Sentiment Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Sentiment Analysis skills. Choose from a wide range of Sentiment Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Sentiment Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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