Implement noun的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包

Implement noun的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦Pombriant, Denis寫的 Solve for the Customer: Using Customer Science to Build Stronger Relationships and Improve Business Results 可以從中找到所需的評價。

另外網站44 Synonyms & Antonyms for IMPLEMENT - Thesaurus.com也說明:Find 44 ways to say IMPLEMENT, along with antonyms, related words, and example sentences ... See definition of implement on Dictionary.com. noun agent, tool

國立臺灣大學 語言學研究所 謝舒凱所指導 洪漢唐的 建置言談與構式的電腦中介溝通語料庫工具 (2020),提出Implement noun關鍵因素是什麼,來自於語料庫語言學、電腦中介傳播、電腦中介言談、構式語法、批踢踢語料庫。

而第二篇論文國立中興大學 企業管理學系所 林金賢所指導 陳繼紳的 結合文字探勘與計量模型之最適房價探討 (2020),提出因為有 文字探勘、TF-IDF、Word2Vec、飯店業、特徵價格模型的重點而找出了 Implement noun的解答。

最後網站Noun-Verb Style - Interaction - Pointwise, Inc.則補充:Pointwise implements a general noun-verb approach to entity-command use. In other words, you will generally select the entity or entities that you wish to ...

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Implement noun,大家也想知道這些:

Solve for the Customer: Using Customer Science to Build Stronger Relationships and Improve Business Results

為了解決Implement noun的問題,作者Pombriant, Denis 這樣論述:

Solve for the Customer is about Customer Science, a social science that focuses on front office business and provides a blueprint for businesses to build stronger relationships and improve business performance by zeroing in on what's important to customers. Customer Science concentrates what we've l

earned from modern technologies like big data, analytics, social media, and advanced enterprise software platforms into a framework that enables businesses to identify moments of truth where they can reliably meet and satisfy their customers. Customer Science is a social science much like sociology.

Like sociology, Customer Science uses data and analytics to develop and understand the social structures that embrace customers and satisfy their needs whether the needs arise in sales, marketing, or service. Prior to Customer Science, many vendors lacked a structured understanding of moments of tr

uth, which caused missed opportunities and disappointed or frustrated customers. Customer Science operates on two levels. First, using big data and analytics, it helps vendors to identify their customers' moments of truth. Then Customer Science guides vendors to quickly and accurately devise and imp

lement automated and semi-automated systems that identify customers' needs and help to satisfy them. Importantly, within Customer Science customer experience goes from a passive thing to an activity. As Denis Pombriant, who identified Customer Science, says, "We use Customer experience as a noun in

CRM (i.e., the customer experience), and for a long time it has been a noun." But once we begin to think in terms of customer-facing processes situated around a moment of truth, experience becomes a verb, says Pombriant, "You experience a moment of truth. That's an important difference and one that

significantly helps vendors and customers." A traditional customer experience is subjective and when you consider the multitude of customers and the totality of their experiences, you are dealing with a big number. Because all experiences are subjective they are also unique - there are billions and

billions of them. With so many unique experiences you can see that dealing with them, and trying to build software to accommodate them, is impossible. But assessing customers' experiences of a moment-of-truth approach is a more manageable problem. True, the experience is still subjective and custome

rs are still unique. But there's a limited number of moments of truth in any business, which your customers will be glad to verify, and these moments of truth are linked in cascades with each step setting up the next until you reach a desired conclusion. Without Customer Science, too often these cas

cades can end abruptly and leave customers frustrated. Succeeding in a moment of truth and successfully navigating a cascade is Boolean - on or off, up or down, true or false, it worked or it didn't. If it all works you have a happy customer; if the moment of truth doesn't work and the cascade gets

broken, you can pinpoint the problem and know exactly what to do to make it right. As a matter of fact, you can develop contingency plans in advance for all of the things that could go sideways. The modern software platform is the tool of Customer Scientists. Well-constructed platforms offer the nee

ded technologies used to capture and analyze customer data and the social tools to communicate with customers. Most importantly, the software platform also provides the journey mapping, workflow, and code generating facilities to turn customer insights into running apps that support moments of truth

. For decades CRM vendors have delivered point solutions to support front office business. Now through Customer Science we can bring all of the components together in a strategy that supports the customer lifecycle while efficiently and cost effectively positioning customer-facing resources to addre

ss customer needs. Denis Pombriant researches and writes about the trials and tribulations of vendors and customers - two types of human separated by a common cause. He lives in the Boston area with his beautiful wife, two demanding cats, and one hyperactive puppy.

建置言談與構式的電腦中介溝通語料庫工具

為了解決Implement noun的問題,作者洪漢唐 這樣論述:

現今的主流語料庫系統皆已提供諸多以頻率為本的量化數值,也能提供超語言資料的篩選功能。不過,大部分的系統工具主要聚焦在非互動的文本或文集語料。因此本論文主要核心內容為擴建電腦中介言談(亦即網路語言)語料庫系統的功能,讓語料庫系統能在言談以及構式方面更為透明。此兩方面為目前語料庫系統尚未出現的搜尋功能。在本論文建置語料庫的過程中,採用網路論壇作為網路語言的實例,進行功能開發與探索。網路論壇中的語言使用,因其非同步性、引用機制與匿名性等等媒介特質,產生出大量語言遊戲、雙關語、交錯話輪為特色。在言談方面,我加入的是搜尋詞於話輪和語句中的位置篩選功能,以及相鄰對語料的處理。在構式方面,我將計算語言學中

分布式語意的成果整合進語料庫系統,提供一種檢索語料的想像,讓系統能根據使用者所提供的構式檢索進行語意相似的檢索。本研究希望在語料庫系統新功能的開發與探索上,一方面提供研究網路語言的更實用的資源,另一方面則在語料庫語言學中能對言談與構式的研究更加深入。

結合文字探勘與計量模型之最適房價探討

為了解決Implement noun的問題,作者陳繼紳 這樣論述:

飯店業為一個高度競爭的紅海市場,如何在競爭激烈的環境中獲得消費者青睞,乃至於獲得更高收益,是飯店業者共同的目標及方向。本研究將討論房價與不同變數間的關係,並將變數分為客觀變數及主觀變數,其中,客觀變數為飯店業者的公開資訊或設施服務,例如:星級、是否提供健身房等,而主觀變數來自消費者的評論內容。此外,過去研究發現飯店會因環境或選址而使營運策略出現顯著差異,因此本研究分析範圍為台中火車站環域兩公里內,且房型為雙人房進行房價討論,研究首先透過Python撰寫爬蟲程式,將飯店資訊從Booking.com抓取下來後,透過TF-IDF進行關鍵字分析,在文字相似度分析上採用Word2Vec分析方法,而後根

據過去文獻整理及資料實際內容,依相似度分析結果整合為主觀變數九大構面,整合客觀變數級主觀變數進行特徵價格模型分析。從分析結果上可以發現,在客觀變數上,是否提供免費停車位,是否提供健身房以及是否為連鎖,對房價都有正向影響,在主觀變數上,消費者感受對房價有正向影響,而感受構面中,包含三個核心關鍵字,分別是飯店總體感覺、實際住宿感受及飯店位置,並根據歸類於這三個核心關鍵字的字詞進行整理及分析後,提供飯店業者更實質的建議及方向。