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
状态：新状态：免费试用您将获得的技能: Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Natural Language Processing, Machine Learning Methods, Text Mining, Scikit Learn (Machine Learning Library), Data Manipulation, Data Cleansing, Python Programming, Analysis, Pandas (Python Package), Development Environment, Software Development Tools, Algorithms
您将获得的技能: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
状态：新状态：预览Coursera
您将获得的技能: Social Media Marketing, Instagram, Business Intelligence, Predictive Modeling, Predictive Analytics, Case Studies
Coursera
您将获得的技能: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Matplotlib, Python Programming, Machine Learning
状态：免费试用您将获得的技能: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing
状态：新状态：免费试用您将获得的技能: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Data Cleansing, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing
是什么让您今天来到 Coursera？
状态：免费试用Wesleyan University
您将获得的技能: 描述性统计, 探索性数据分析, 回归分析, 数据管理, 决策树学习, 机器学习, 逻辑回归, 数据叙事, 统计方法, 模型评估, 数据操作, 分类与回归树 (CART), 统计假设检验, 数据分析, 数据可视化, 相关性分析, 数据展示, 统计软件, 统计分析, 统计
状态：预览University of Washington
您将获得的技能: 回归分析, Python 程序设计, 社交网络分析, 数据可视化软件, 应用编程接口 (API), 文本挖掘, 相关性分析, 统计分析, 趋势分析, R 语言程序设计（中文版）, 数据分析, 非结构化数据, 数据收集, 分析
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 自然语言处理, 逻辑回归, 无监督学习, 概率与统计, 统计方法, 文本挖掘, 分类算法, 预测分析, 数据挖掘, 非结构化数据, 数据分析, 分析, 统计分析
状态：预览O.P. Jindal Global University
您将获得的技能: Predictive Analytics, Advanced Analytics, Business Analytics, Data Mining, Forecasting, Data-Driven Decision-Making, Customer Analysis, Data Preprocessing, Regression Analysis, Data Analysis, Data Cleansing, Statistical Analysis, Dimensionality Reduction, Business Communication, Unsupervised Learning, Market Analysis, Decision Tree Learning, Logistic Regression, Classification Algorithms, Artificial Neural Networks
您将获得的技能: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming
状态：免费试用University of Michigan
您将获得的技能: 自然语言处理, 无监督学习, Python 程序设计, 监督学习, 数据操作, 文本挖掘, 分类算法, Scikit-learn （机器学习库）, Pandas（Python 软件包）, 功能工程, 数据预处理
总之，以下是 10 最受欢迎的 sentiment analysis 课程
- Python Case Study - Sentiment Analysis: EDUCBA
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Social Media Data Analytics: Coursera
- NLP: Twitter Sentiment Analysis: Coursera
- Natural Language Processing with Real-World Projects: Packt
- AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
- 数据分析与解释: Wesleyan University
- 社交媒体数据分析: University of Washington
- 文本挖掘与分析: University of Illinois Urbana-Champaign
- Predictive Analytics and Forecasting: O.P. Jindal Global University
