What are the different types of sentiment analysis?
有哪些不同類型的情緒分析？
Businesses use different types of sentiment analysis to understand how their customers feel when interacting with products or services.
Fine-grained scoring
Fine-grained sentiment analysis refers to categorizing the text intent into multiple levels of emotion. Typically, the method involves rating user sentiment on a scale of 0 to 100, with each equal segment representing very positive, positive, neutral, negative, and very negative. Ecommerce stores use a 5-star rating system as a fine-grained scoring method to gauge purchase experience.
Aspect-based
Aspect-based analysis focuses on particular aspects of a product or service. For example, laptop manufacturers survey customers on their experience with sound, graphics, keyboard, and touchpad. They use sentiment analysis tools to connect customer intent with hardware-related keywords.
Intent-based
Intent-based analysis helps understand customer sentiment when conducting market research. Marketers use opinion mining to understand the position of a specific group of customers in the purchase cycle. They run targeted campaigns on customers interested in buying after picking up words like discounts, deals, and reviews in monitored conversations.
Emotional detection
Emotional detection involves analyzing the psychological state of a person when they are writing the text. Emotional detection is a more complex discipline of sentiment analysis, as it goes deeper than merely sorting into categories. In this approach, sentiment analysis models attempt to interpret various emotions, such as joy, anger, sadness, and regret, through the person's choice of words.
企業使用不同類型的情緒分析來了解客戶在與產品或服務互動時的感受。
精細評分
精細的情緒分析是指將文字意圖分類為多個層級的情緒。通常，此方法涉及將使用者情緒評分為 0 到 100，每個相等區段代表非常正面、正面、中性、負面和非常負面。電子商務商店使用 5 星級評分系統作為精細評分方法來衡量購買體驗。
特征型
特征型分析著重於產品或服務的特定方面。例如，筆記型電腦製造商會針對客戶在聲音、圖形、鍵盤和觸控板方面的使用體驗進行調查。他們使用情緒分析工具，將客戶意圖與硬體相關的關鍵字聯繫起來。
意向型
意向型分析有助於在進行市場研究時了解客戶情緒。行銷人員使用意見挖掘來了解特定客戶群在購買週期中的位置。他們在受監控的對話中獲得諸如折扣、交易和評論等詞語後，對有興趣購買的客戶執行有針對性的行銷活動。
情緒檢測
情緒檢測涉及分析一個人在寫下文字時的心理狀態。情緒檢測是情緒分析的一個更複雜的學科，因為它比僅僅按類別進行分類更深入。在這種方法中，情緒分析模型試圖透過個人對單詞的選擇來解釋各種情緒，例如喜悅、憤怒、悲傷和遺憾。