Social Listening Roberta (Exam 2)

Question 1

Process of computationally
identifying and categorizing opinions expressed in a piece of text. Used to understand the attitude of people toward a particular topic, brand,
product, or service. Helps make data-driven decisions.

Answer 1

Sentiment Analysis

Question 2

a fundamental aspect of the social media marketing strategy.

Answer 2

Listening

Question 3

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

Answer 3

Market Understanding

Question 4

How popular is your
brand compared to
competitors? Issues discussed around your brand?

Answer 4

Brand Mentions

Question 5

Spreading your brand
beyond your current
network. Instant reach. Credibility

Answer 5

Influencer Identification

Question 6

Strategic partnerships. Involvement in their
discussions.

Answer 6

Partner Development

Question 7

Which “social objects”
are shared? How do companies run their campaigns?

Answer 7

Content and Campaign Ideas

Question 8

Identify leads and sales
opportunities.

Answer 8

Sales Opportunity

Question 9

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

Answer 9

Social monitoring

Question 10

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

Answer 10

Social research

Question 11

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

Answer 11

Natural Language Processing (NLP) libraries

Question 12

Random Forest, and Deep
Neural Networks (DNN)

Answer 12

Machine learning models

Question 13

BERT, GPT-4, and RoBERTa.

Answer 13

Pre-trained models

Question 14

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

Answer 14

Cloud-based APIs

Question 15

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

Answer 15

Rule-based systems