15. Social Listening

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Last updated 7:01 AM on 4/21/26
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44 Terms

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Example of Social Listening (Wrong)

e.l.f. cosmetics and matt rife collab

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Example of Social Listening (Right)

Dr Pepper turns TikTok creator's jingle into national commercial

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What is sentiment analysis?

Process of computationally identifying and categorizing opinions expressed in a piece of text.

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What is sentiment analysis used for?

Used to understand the attitude of people toward a particular topic, brand, product, or service

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What kind of decisions does sentiment analysis help with?

Helps make data-driven decisions.

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Why use sentiment analysis in social media marketing?

  • listen and manage reputation

  • product and service development

  • types of online listening

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Listen and Manage Reputation

Listening is a fundamental aspect of the social media marketing strategy.

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Whta is a fundamental aspect of the social media marketing strategy?

listening

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What does listening improve insights on?

  • Market Understanding

  • Brand Mentions

  • Influencer Identification

  • partner development

  • content and campaign ideas

  • negative comments

  • sales opportunity

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Market Understanding

Which types of conversations are interesting to your prospects and customers?

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Brand Mentions

• How popular is your brand compared to competitors?

• Issues discussed around your brand?

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Influencer Identification

• Spreading your brand beyond your current network.

• Instant reach.

• Credibility.

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Partner Development

• Strategic partnerships.

• Involvement in their discussions.

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Content & Campaign Ideas

• Which “social objects” are shared?

• How do companies run their campaigns?

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Negative Comments

Managing and responding to negative comments about your brand.

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Sales Opportunity

Identify leads and sales opportunities.

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Product and Service Development

Developing products and services according to your customers by listening to them.

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Examples of Product and Service Development

Lay’s ‘Do Us a Flavor”

Oreo’s “OREO x BabyMonster” Tumbler

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Types of Online Listening

  • Social Monitoring

  • Social Research

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Social Monitoring

Continuously track daily mentions (brand protection, customer service outreach, and engagement).

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Social Research

Strategic and ad hoc (campaign planning, product development, online experience improvement).

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Why is sentiment analysis important?

  • Track and monitor customers’ opinons in real time

  • Helpful in identifying opportunities

  • Improve customer engagement and loyalty

  • Stay ahead of the competition

  • Measure the success of marketing campaigns

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How many steps are in sentiment analysis?

5

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What are the steps in sentiment analysis?

  1. Tokenization

  2. Clean the Data

  3. Remove Stop Words

  4. Classify Words

  5. Calculations

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Step 1 of Sentiment Analysis

tokenization

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Tokenization

splitting a string of text into smaller pieces, called tokens

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Step 2 of Sentiment Analysis

cleaning the data

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cleaning the data

Remove all those special characters or any other words that do not add any value to the analytics part.

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Step 3 of Sentiment Analysis

removing the stop words

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what are stop words?

commonly used, low-information words (such as "the," "is," "and," and "in") that search engines and natural language processing (NLP) systems typically ignore to focus on significant keywords

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examples of stop words

the, is, in, and

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Step 4 of Sentiment Analysis

classification of the words in positive, neutral, and negative

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Step 5 of Sentiment Analysis

calculation

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What tools can be used to perform sentiment analysis?

  1. Natural Language Processing (NLP) Libraries

  2. Machine learning models

  3. pre-trained models

  4. cloud-based APIs

  5. rule-based systems

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Natural Language Processing (NLP) Libraries

NLTK, and CoreNLP, provide a set of pre-defined rules and algorithms for sentiment analysis.

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Machine Learning Models

Random Forest, and Deep Neural Networks (DNN).

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Pre-Trained Models

BERT, GPT-4.5, and RoBERTa.

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Cloud-Based APIs

Google Cloud NLP, Amazon Comprehend, and IBM Watson Natural Language Understanding

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Rule-Based Systems

dictionary-based systems use a set of hand-crafted rules to identify the sentiment of a given text.

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Example of Rule-Based Systems

The restaurant was clean and the food decent. (Positive)

The package arrived late, but at least it was free shipping. (Neutral)

This movie was so good I almost fell asleep. (Negative)

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What is fundamental in social media marketing?

Listening to online conversations is fundamental in social media marketing.

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What should you ensure is in place?

Ensure appropriate tools are in place to listen to and follow up on different “social mentions.”

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What is a valuable tool in social media marketing?

Sentiment analysis is a valuable tool in social media marketing.

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What can you use to perform sentiment analysis?

There are several tools to perform sentiment analysis.