白茶分级审评特征数据集

1、数据采集：从茶叶感官审评术语、茶叶感官审评方法，获取评价茶叶的维度，从审评程序的历史评价记录中获取各维度的评价文本及评价分值；2、数据处理：从评价文本中，根据自然语言处理（NLP）技术方法，数据计数统计方法，获取不同等级分值对应的评价关键词特征数据集；3、数据应用：可以用于白茶茶叶的评价、评级、销售，判断茶产业链各环节提供精准的品质定位与市场导向信息，提升茶叶的市场交易价格。1. Data Collection: Extract tea quality evaluation dimensions from the terminology and standardized methods of tea sensory evaluation, and obtain the evaluation texts and corresponding scores for each dimension from the historical evaluation records of the sensory evaluation workflow; 2. Data Processing: Derive the evaluation keyword feature datasets corresponding to different grade scores from the collected evaluation texts via natural language processing (NLP) technologies and data counting and statistical methodologies; 3. Data Application: This dataset can be utilized for the evaluation, grading and sales of white tea, providing accurate quality positioning and market-oriented information for all links in the tea industry chain, thereby increasing the market transaction price of tea.