Sentiment Analysis: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors (Paperback)
暫譯: 情感分析:高影響力策略 - 您需要知道的事項:定義、採用、影響、好處、成熟度、供應商 (平裝本)

Kevin Roebuck

  • 出版商: MicroSoft
  • 出版日期: 2011-06-19
  • 售價: $2,050
  • 貴賓價: 9.5$1,948
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Paperback
  • ISBN: 1743046480
  • ISBN-13: 9781743046487
  • 海外代購書籍(需單獨結帳)

買這商品的人也買了...

商品描述

Sentiment analysis or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials.

Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall tonality of a document. The attitude may be his or her judgment or evaluation (see appraisal theory), affective state (that is to say, the emotional state of the author when writing), or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).

This book is your ultimate resource for Sentiment Analysis. Here you will find the most up-to-date information, analysis, background and everything you need to know.

In easy to read chapters, with extensive references and links to get you to know all there is to know about Sentiment Analysis right away, covering: Sentiment analysis, Natural language processing, Affix grammar over a finite lattice, Afnlp, Aggregation (linguistics), Attensity, Automatic Acquisition of Sense-Tagged Corpora, Automatic summarization, Bag of words model, Bigram, Brill tagger, Cache language model, Calais (Reuters Product), ChaSen, ClearForest, Cmu Pronouncing Dictionary, Computational semantics, Computerized Speech Lab, Concept mining, Content determination, Controlled natural language, Cross-language information retrieval, Datr, Discourse relation, Document classification, Document-term matrix, Etblast, Filtered-popping recursive transition network, Robby Garner, GeneRif, Gorn address, Grammar checker, Grammar induction, Grammatik, History of machine translation, History of natural language processing, Iglue, Information extraction, Information retrieval, International Conference on Language Resources and Evaluation,

商品描述(中文翻譯)

情感分析或意見挖掘是指應用自然語言處理、計算語言學和文本分析來識別和提取來源材料中的主觀信息。

一般來說,情感分析旨在確定說話者或作者對某個主題的態度或文檔的整體語調。這種態度可能是他或她的判斷或評估(參見評價理論)、情感狀態(即作者在寫作時的情感狀態),或是預期的情感傳達(即作者希望對讀者產生的情感影響)。

本書是您了解情感分析的終極資源。在這裡,您將找到最新的信息、分析、背景以及您需要了解的一切。

在易於閱讀的章節中,提供廣泛的參考資料和鏈接,讓您立即了解有關情感分析的所有知識,涵蓋主題包括:情感分析、自然語言處理、有限格上的詞綴語法、Afnlp、聚合(語言學)、Attensity、自動獲取語義標記語料庫、自動摘要、詞袋模型、二元組、Brill 標記器、緩存語言模型、Calais(路透社產品)、ChaSen、ClearForest、Cmu 發音字典、計算語義學、計算語音實驗室、概念挖掘、內容確定、受控自然語言、跨語言信息檢索、Datr、話語關係、文檔分類、文檔-術語矩陣、Etblast、過濾彈出遞歸轉換網絡、Robby Garner、GeneRif、Gorn 地址、語法檢查器、語法歸納、Grammatik、機器翻譯的歷史、自然語言處理的歷史、Iglue、信息提取、信息檢索、國際語言資源與評估會議。