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  • Sentiment Analysis

Sentiment 分析课程

Sentiment Analysis 课程可以帮助您学习文本处理、自然语言理解和情感检测技术。您可以掌握数据 Visualization、Feature Extraction 和 Model Evaluation 方面的技能,这些技能对于解读情感趋势至关重要。许多课程都会介绍 Python、R 和 NLTK 或 TextBlob 等专项库等工具,这些工具有助于在从社交媒体监测到客户反馈分析等各种情境中应用情感分析。

热门 Sentiment Analysis 课程和认证


  • P

    Packt

    Harnessing Ollama – Create Local LLMs with Python

    您将获得的技能: LLM Application, Tool Calling, Large Language Modeling, Retrieval-Augmented Generation, Command-Line Interface, Embeddings, Python Programming, Application Development, Vector Databases, User Interface (UI), Software Installation, Restful API, Development Environment

    4
    评分, 4 星,最高 5 星
    ·
    6 条评论

    中级 · 课程 · 1-3 个月

  • D

    DeepLearning.AI

    Quality and Safety for LLM Applications

    您将获得的技能: LLM Application, AI Security, Large Language Modeling, Security Testing, Data Loss Prevention, Continuous Monitoring, Responsible AI, Prompt Patterns, Threat Detection, System Monitoring, Personally Identifiable Information, Data Security

    初级 · 项目 · 不超过 2 小时

  • P

    Packt

    Applied NLP and Generative AI

    您将获得的技能: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    中级 · 专项课程 · 3-6 个月

  • E

    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Tensorflow, Deep Learning, Model Deployment

    初级 · 专项课程 · 1-3 个月

  • K

    Khalifa University

    AI for Executives: AI for Business Decision Making

    您将获得的技能: Feature Engineering, Responsible AI, AI Integrations, Data Preprocessing, Strategic Decision-Making, Data-Driven Decision-Making, Data Ethics, Natural Language Processing, AI Security, Decision Making, Model Training, LLM Application, Large Language Modeling, Decision Support Systems, Artificial Intelligence, Predictive Analytics, Advanced Analytics, Governance, Data Governance, Workflow Management

    3.9
    评分, 3.9 星,最高 5 星
    ·
    7 条评论

    初级 · 课程 · 1-4 周

  • P

    Packt

    Building AI-Powered Application with .NET

    您将获得的技能: Machine Learning Methods, .NET Framework, GitHub Copilot, Machine Learning Algorithms, Model Deployment, Machine Learning, OpenAI API, Model Training, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Security, OpenAI, Microsoft Azure, AI Integrations, LLM Application, Cloud Deployment, Microsoft Visual Studio

    中级 · 课程 · 1-3 个月

  • S

    Starweaver

    AI-Driven HR Strategy, Operations, and Regulatory Compliance

    您将获得的技能: Data Ethics, Responsible AI, Human Resources Software, Workforce Planning, Human Resources, Human Resource Strategy, Employee Engagement, AI Enablement, Human Resources Management and Planning, Regulatory Compliance, Compliance Reporting, Human Resource Management, People Analytics, Compliance Management, Human Resource Policies, Recruitment Strategies, ChatGPT, Employee Retention, Recruitment, Ethical Standards And Conduct

    中级 · 课程 · 1-4 周

  • M

    Microsoft

    Intro to Natural Language Processing in Microsoft Azure

    您将获得的技能: Text Mining, Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, AI Workflows, Analytics, Application Development

    初级 · 课程 · 1-4 周

  • C

    Coursera

    GenAI for Personalized Marketing at Scale

    您将获得的技能: Customer Analysis, Personalized Campaigns, AI Personalization, Customer Insights, Data-Driven Marketing, Marketing Analytics, Generative AI, Target Audience, Customer Data Management, Marketing Automation, Marketing, Campaign Management, Marketing Effectiveness, Content Creation, Analysis

    4.9
    评分, 4.9 星,最高 5 星
    ·
    7 条评论

    中级 · 课程 · 1-4 周

  • M

    Maven Analytics

    机器学习完全可视化指南

    您将获得的技能: 时间序列分析和预测, 数据挖掘, 数据分析, 统计分析, 机器学习方法, 监督学习, 数据科学, 分类算法, 无监督学习, 商业智能, 机器学习, 预测, 数据预处理, 应用机器学习, 模型评估, 统计方法, 探索性数据分析, 回归分析, Model Evaluation, 模型优化, 模型培训

    初级 · 课程 · 1-3 个月

  • B

    Board Infinity

    Learn About Cohere SDKs and APIs

    您将获得的技能: Natural Language Processing, LLM Application, Large Language Modeling, Application Performance Management, Generative AI, Text Mining, Performance Tuning, Cloud API, Generative AI Agents, Application Development, Application Programming Interface (API), Cloud-Based Integration, AI Integrations, Systems Integration, Responsible AI, Data Ethics, Internet Of Things, Analysis, Scalability

    中级 · 课程 · 1-4 周

  • S

    Simplilearn

    LLM Benchmarking and Evaluation Training

    您将获得的技能: LLM Application, LangChain, Large Language Modeling, Model Evaluation, Generative AI, Embeddings, Natural Language Processing, Language Interpretation, Translation, and Studies, Benchmarking

    初级 · 课程 · 1-4 周

1…121314…834

总之,以下是 10 最受欢迎的 sentiment analysis 课程

  • Harnessing Ollama – Create Local LLMs with Python: Packt
  • Quality and Safety for LLM Applications: DeepLearning.AI
  • Applied NLP and Generative AI: Packt
  • Keras Deep Learning Projects with TensorFlow: EDUCBA
  • AI for Executives: AI for Business Decision Making: Khalifa University
  • Building AI-Powered Application with .NET: Packt
  • AI-Driven HR Strategy, Operations, and Regulatory Compliance: Starweaver
  • Intro to Natural Language Processing in Microsoft Azure: Microsoft
  • GenAI for Personalized Marketing at Scale: Coursera
  • 机器学习完全可视化指南: Maven Analytics

其他可浏览的主题

Arts and Humanities
338 课程
Business
1095 课程
Computer Science
668 课程
Data Science
425 课程
Information Technology
145 课程
Health
471 课程
Math and Logic
70 课程
Personal Development
137 课程
Physical Science and Engineering
413 课程
Social Sciences
401 课程
Language Learning
150 课程

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