官术网_书友最值得收藏!

2. Analyzing Documents and Text with Natural Language Processing

Overview

This chapter describes the use of Amazon Comprehend to summarize text documents and create Lambda functions to analyze the texts. You will learn how to develop services by applying the serverless computing paradigm, and use Amazon Comprehend to examine texts to determine their primary language. You will extract information such as entities (people or places), key phrases (noun phrases that are indicative of the content), emotional sentiments, and topics from a set of documents.

By the end of this chapter, you will able to set up a Lambda function to process and analyze imported text using Comprehend and extract structured information from scanned paper documents using Amazon Textract.

主站蜘蛛池模板: 威远县| 红河县| 厦门市| 嘉义市| 普格县| 多伦县| 淅川县| 岳池县| 红桥区| 罗山县| 合水县| 崇文区| 杭州市| 石台县| 威海市| 民县| 西峡县| 乌鲁木齐市| 永清县| 磴口县| 司法| 汉阴县| 湾仔区| 江津市| 百色市| 修水县| 三门峡市| 会泽县| 汨罗市| 福州市| 阿勒泰市| 寻乌县| 叙永县| 沅江市| 鄂尔多斯市| 长阳| 河池市| 泊头市| 砚山县| 林州市| 乌鲁木齐县|