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  • Sentiment Analysis

Sentiment Analysis Courses

Sentiment analysis courses can help you learn text processing, natural language understanding, and emotion detection techniques. You can build skills in data visualization, feature extraction, and model evaluation, which are crucial for interpreting sentiment trends. Many courses introduce tools like Python, R, and specialized libraries such as NLTK or TextBlob, which facilitate the application of sentiment analysis in various contexts, from social media monitoring to customer feedback analysis.

Popular Sentiment Analysis Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Summarize and Evaluate Ethical AI Insights

    Skills you'll gain: Data Ethics, Prompt Engineering, AI literacy, Responsible AI, Data Synthesis, Personally Identifiable Information, LLM Application, Information Privacy, Large Language Modeling, Qualitative Research, Data Integrity, Performance Analysis, Key Performance Indicators (KPIs), Performance Measurement, Variance Analysis, Gap Analysis, Market Opportunities, Business Development, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Decision Intelligence, Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Machine Learning, Business Metrics, Predictive Analytics, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Entity and Sentiment Analysis with the Natural Language API

    Skills you'll gain: Natural Language Processing, Text Mining, Google Cloud Platform, Cloud API, Unstructured Data, Network Analysis, Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Analysis and Interpretation of Data

    Skills you'll gain: Analytics, Data Analysis, Digital Brand Strategy, Digital Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Content Performance Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Exploratory Data Analysis, Logistic Regression, Market Research, Return On Investment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: Model Evaluation, OpenAI API, Fine-tuning, Model Training, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Processing, LLM Application, Data Manipulation, Generative AI, Python Programming, Customer Analysis, Machine Learning, Customer Insights, Customer Complaint Resolution

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis with OpenAI API: Save time with GenAI

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Exploratory Data Analysis, Analysis, OpenAI, ChatGPT, Data Analysis, Analytics, Data-Driven Decision-Making, E-Commerce, Data Manipulation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    319 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

    Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Model Training, Supervised Learning, Predictive Modeling, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    27 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

1…678…834

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

  • Summarize and Evaluate Ethical AI Insights: Coursera
  • Automate, Analyze, and AI Feedback: Coursera
  • NLP – Machine Learning Models in Python: Packt
  • Entity and Sentiment Analysis with the Natural Language API: Google Cloud
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Analysis and Interpretation of Data: Queen Mary University of London
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera
  • Data Analysis with OpenAI API: Save time with GenAI: Coursera
  • Data Analysis Using Pyspark: Coursera

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