From Text to Emotion Harnessing Sentiment Analysis in Business- PDF.pdf

Learn how sentiment analysis transforms raw text into actionable emotional insights. Understand techniques, real-world e-commerce applications, and future trends in business sentiment interpretation.

1. From Text to Emotion:
Harnessing Sentiment
Analysis in Business
Presented by StatsWork

2. Understanding
Customer Feelings
Customers constantly engage with
brands online.
Reviews, posts, and feedback reveal
true experiences.
Sentiment analysis interprets emotions
to improve strategies.

3. What is Sentiment
Analysis?
Uses Natural Language Processing
(NLP) to assess tone.
Classifies text as positive, negative, or
neutral.
Detects emotions and product-
specific perceptions.

4. Techniques in
Sentiment Analysis
Polarity Scoring: Measures overall
sentiment tone.
Emotion Detection: Identifies emotions
like joy or anger.
Aspect-Based Analysis: Evaluates
specific product attributes.

5. Use Cases in
E-Commerce
Brand Monitoring: Tracks opinions to
protect reputation.
Product Development: Finds
improvement opportunities.
Example: Headphone brand redesigns
based on feedback.

6. Personalized
Marketing Strategies
Creates emotion-based and targeted
campaigns.
Improves engagement and customer
loyalty.
Uses positive reactions to drive
promotional offers.

7. Email
[email protected]
Website
www.statswork.com
Phone
[phone]
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