언론 빅데이터 11월

 

• Sentiment Analysis - Analyzing text to understand public emotions or attitudes towards a subject.
• Data Mining - Extracting patterns or insights from large datasets.
• Natural Language Processing (NLP) - A field in AI that helps computers understand and interpret human language.
• Machine Learning - Algorithms that improve automatically through experience, often used in analyzing media trends.
• Text Mining - Extracting meaningful information from large text datasets.
• Data Visualization - The graphical representation of information and data.
• Media Analytics - Tools and techniques for analyzing media data.
• Engagement Metrics - Measurements like shares, likes, and comments to gauge user interaction.
• Trend Analysis - Identifying patterns over time in data, such as emerging topics.
• Topic Modeling - Grouping text data into topics, often to identify recurring themes.
• Real-Time Analytics - Processing data as it is created, useful for live updates.
• User-Generated Content (UGC) - Content created by users, often used in sentiment analysis.