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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

      Attention Mechanism - Español

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      Dassault Systèmes

      Virtual Factory for Education

      Skills you'll gain: Industrial Engineering, Manufacturing and Production, Virtual Environment, Simulation and Simulation Software, Process Analysis, Robotic Process Automation, Production Process, Simulations, Program Development

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Pavement Materials and Design (IRC and MoRTH)

      Skills you'll gain: Civil Engineering, Civil and Architectural Engineering, Structural Analysis, Construction, Failure Analysis, Engineering Software, Engineering Design Process, Engineering Calculations, Engineering Analysis, Laboratory Testing, Product Testing

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Alignor

      Dealing With External Stakeholders In A Diverse Environment

      Skills you'll gain: Overcoming Objections, Stakeholder Engagement, Influencing, Advocacy, Diversity and Inclusion, Stakeholder Management, Diversity Awareness, Tactfulness, Communication, Negotiation, Communication Strategies, Simulation and Simulation Software, Decision Making

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Configuring MongoDB Atlas with BigQuery Dataflow Templates

      Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Planning of Hydropower Projects

      Skills you'll gain: Construction, Hydraulics, Civil Engineering, Water Resources, Environmental Engineering, Engineering Management, Electrical Power, Structural Engineering, Geospatial Information and Technology, Engineering Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      O

      O.P. Jindal Global University

      Environmental Issues, Policies, and Practice

      Skills you'll gain: Environmental Laws, Environment, Environmental Issue, Risk Management, Environmental Resource Management, Environmental Policy, Environment Health And Safety, Environmental Science, Environmental Regulations, Mitigation, Water Resources, Risk Analysis, Sanitation, Public Health, Pollution Prevention

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Risk Management Planning with Expert Judgement

      Skills you'll gain: Risk Analysis, Project Risk Management, Construction Management, Project Design, Quality Assurance, Project Planning, Contract Management, Project Coordination, Project Management, Team Oriented, Cost Management, Decision Making

      Intermediate · Course · 1 - 3 Months

    • U

      Universitat Autònoma de Barcelona

      Eye tracking y el estudio de la percepción visual

      Skills you'll gain: Research Design, Report Writing, Statistical Reporting, Experimentation, Research, Scientific Methods, Research Methodologies, Technical Writing, Usability Testing, Data Analysis, Usability, Data Ethics, User Research, Data Collection, Anatomy, Heat Maps, Psychology

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      U.S. Nutrition Policies and Implications

      Skills you'll gain: Nutrition Education, Nutrition and Diet, Public Policies, Public Health, Health Policy, Policy Analysis, Health Equity, Community Health, Program Evaluation

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Strömungsimulation einer Kreiselpumpe

      Skills you'll gain: Simulation and Simulation Software, Simulations, Engineering Analysis, Computer-Aided Design, Pump Stations, Process Analysis, Hydraulics, Cloud Computing

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Creating an Unresourced Project with Oracle Primavera P6 PPM

      Skills you'll gain: Work Breakdown Structure, Calendar Management, Performance Metric, Project Performance, Project Schedules, Project Controls, Scheduling, Project Planning, Project Management Software, Timelines, Dependency Analysis, Data Visualization

      Beginner · Course · 1 - 3 Months

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

    • Attention Mechanism - Español: Google Cloud
    • Virtual Factory for Education: Dassault Systèmes
    • Pavement Materials and Design (IRC and MoRTH): L&T EduTech
    • Dealing With External Stakeholders In A Diverse Environment: Alignor
    • Configuring MongoDB Atlas with BigQuery Dataflow Templates: Google Cloud
    • Planning of Hydropower Projects: L&T EduTech
    • Environmental Issues, Policies, and Practice : O.P. Jindal Global University
    • Risk Management Planning with Expert Judgement: University of Maryland, College Park
    • Eye tracking y el estudio de la percepción visual: Universitat Autònoma de Barcelona
    • U.S. Nutrition Policies and Implications: University of Illinois Urbana-Champaign

    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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