首页> 外国专利> Applying a Genetic Algorithm to Compositional Semantics Sentiment Analysis to Improve Performance and Accelerate Domain Adaptation

Applying a Genetic Algorithm to Compositional Semantics Sentiment Analysis to Improve Performance and Accelerate Domain Adaptation

机译:将遗传算法应用到成分语义情感分析中以提高性能并加速域自适应

摘要

A mechanism is provided in a data processing system for applying a genetic algorithm to semantic sentiment analysis. The mechanism provides a sentiment analysis model to a sentiment analysis algorithm. The mechanism trains the sentiment analysis model using a genetic algorithm based on a training corpus of documents with corresponding desired sentiment analysis values for a given domain to form a trained sentiment analysis model. The mechanism performs the sentiment analysis algorithm on an input document using the trained sentiment analysis model to form a domain-specific sentiment analysis result. The mechanism outputs the domain-specific sentiment analysis result.
机译:在数据处理系统中提供了一种用于将遗传算法应用于语义情感分析的机制。该机制为情感分析算法提供了情感分析模型。该机制使用遗传算法基于给定域的文档训练语料库和相应的所需情感分析值来训练情感分析模型,以形成经过训练的情感分析模型。该机制使用经过训练的情感分析模型对输入文档执行情感分析算法,以形成特定于域的情感分析结果。该机制输出特定领域的情感分析结果。

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