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Stateful Processing
Ability of a streaming application to maintain information (state) over time, such as a user's cumulative sentiment, to enrich the analysis of new data.
Sentiment Lexicon
Dictionary of words pre-labeled with polarity (positive, negative, neutral) and intensity, used for fast rule-based analysis methods on text streams.
Real-time Embedding Model
Vector representation of words or phrases generated on the fly, optimized for speed to convert text into input for a sentiment classification model without noticeable latency.
Complex Event Processing (CEP)
Technology that enables the detection of meaningful event patterns in multiple data streams, such as a sudden wave of negativity on a topic, by combining sentiment analysis results.
Processing Pipeline
Sequence of steps (ingestion, cleaning, analysis, aggregation) configured to process data continuously and automatically, from raw source to final sentiment result.
Sentiment Aggregation
Process of combining individual sentiment scores from multiple messages to produce an overall metric (e.g., average score) over a given time window or topic.
Aspect Detection
Sub-task of sentiment analysis that identifies specific features of a product or service (e.g., 'battery', 'screen') to which the opinion expressed in a text stream relates.
Sentiment Dashboard
Visualization interface that updates in real time the key metrics of sentiment analysis (scores, trends, volumes) from the processed data streams.