Podcast
Questions and Answers
What characterizes textual data's processing difficulty?
What characterizes textual data's processing difficulty?
Which of the following is NOT a task for Natural Process Learning (NLP)?
Which of the following is NOT a task for Natural Process Learning (NLP)?
How does NLP relate to text mining?
How does NLP relate to text mining?
Which application uses NLP to understand customer reviews?
Which application uses NLP to understand customer reviews?
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What defines a large language model (LLM)?
What defines a large language model (LLM)?
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What does POS tagging specifically identify in text?
What does POS tagging specifically identify in text?
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What is the primary purpose of parsing in natural language processing?
What is the primary purpose of parsing in natural language processing?
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Which of the following is NOT a key step in processing textual data?
Which of the following is NOT a key step in processing textual data?
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In sentiment analysis, what are the possible moods that can be determined from text?
In sentiment analysis, what are the possible moods that can be determined from text?
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What technique counts the occurrences of each word in a sentence during feature generation?
What technique counts the occurrences of each word in a sentence during feature generation?
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What is the primary benefit of changing only one variable at a time in marketing experiments?
What is the primary benefit of changing only one variable at a time in marketing experiments?
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According to the profit formula, which of the following correctly represents profit?
According to the profit formula, which of the following correctly represents profit?
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Which characteristic does NOT belong to unstructured data?
Which characteristic does NOT belong to unstructured data?
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What aspect of big data does 'Velocity' refer to?
What aspect of big data does 'Velocity' refer to?
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What should a firm do if it finds itself on the downhill side of investment?
What should a firm do if it finds itself on the downhill side of investment?
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What is the purpose of sentiment analysis in marketing?
What is the purpose of sentiment analysis in marketing?
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Which of the following is NOT a stage of analysis in sentiment analysis?
Which of the following is NOT a stage of analysis in sentiment analysis?
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What does lemmatization do in sentiment analysis?
What does lemmatization do in sentiment analysis?
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Which approach combines machine learning with rules-based methods?
Which approach combines machine learning with rules-based methods?
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What is identified in the Rules (Lexicon) based approach?
What is identified in the Rules (Lexicon) based approach?
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Which of these is an issue associated with machine learning-based sentiment analysis?
Which of these is an issue associated with machine learning-based sentiment analysis?
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What does keyword analysis provide in sentiment analysis?
What does keyword analysis provide in sentiment analysis?
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How does a lexicon function in sentiment analysis?
How does a lexicon function in sentiment analysis?
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What is a key characteristic of the heuristic approach in resource allocation?
What is a key characteristic of the heuristic approach in resource allocation?
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In the anchoring and adjustment process, what does the term 'anchoring' refer to?
In the anchoring and adjustment process, what does the term 'anchoring' refer to?
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What does the scientific approach to resource allocation aim to achieve?
What does the scientific approach to resource allocation aim to achieve?
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What is the purpose of experimental-based attribution in marketing?
What is the purpose of experimental-based attribution in marketing?
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What potential outcomes can be influenced by managers' decisions about resource allocation?
What potential outcomes can be influenced by managers' decisions about resource allocation?
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What is a characteristic of the anchoring and adjustment method?
What is a characteristic of the anchoring and adjustment method?
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Which aspect is NOT a feature of the heuristic approach?
Which aspect is NOT a feature of the heuristic approach?
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What is the role of the control condition in experimental-based attribution?
What is the role of the control condition in experimental-based attribution?
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Study Notes
Heuristic Approach
- Used when common sense and knowledge are applied to make judgments about resource allocation.
- Simple and easy to use.
- Often inaccurate, relying on gut feeling instead of scientific data.
- Outcomes include market share, sales, brand loyalty, customer satisfaction, and stock prices.
- Outcomes influenced by past decisions of managers affecting resource allocation.
Anchoring and Adjustment
- Starts with an initial idea (anchor), then adjusted based on new information.
- Begins with a starting point (rough estimate) often based on past experience.
- Information like sales figures or customer feedback adjust the initial assumption to reflect new data.
Scientific Approach to Profit Maximization
- Determines how to maximize profits by understanding the impact of marketing efforts on sales.
- Utilizes experimental methods to measure the effectiveness of different marketing strategies.
Experimental-Based Attribution
- Uses controlled experiments to understand how different marketing strategies impact customers.
- Involves an intervention (new marketing effort) group and a control group (no new effort).
- Compares the outcomes of the intervention group to the control group to understand the impact.
- Only one thing is changed at a time to isolate its effect.
- Expensive, and sometimes impossible to implement.
- All factors under firm control remain constant.
Response Models
- Show the relationship between marketing resources and past outcomes.
- Historical data provides insights into how marketing resources affect outcomes.
Profit Change and Sales Increase
- Profit change is calculated by multiplying the sales increase by the gross margin and subtracting the additional cost (additional sales rep cost).
Profit Maximization and Re-allocation
- Firms on the upward curve (uphill firms) need to increase investments to reach the sweet spot.
- Firms on the downward side (downhill firms) need to decrease investments.
- Profit can be increased by re-allocating resources from unprofitable segments to more profitable ones.
Profit Formula
- Profit = (sales x margin) - total fixed cost
Data Types and Analysis
- Structured Data: numerical data organized into rows and columns.
- Unstructured Data: text, images, audio, video, social media and emails.
- Text Analysis: analyzes structured and unstructured data.
- 8 Vs of Big Data: volume, velocity, variety, value, veracity, variability, visualization, visibility.
Natural Language Processing (NLP)
- Area of computer science enabling computers to understand and process human language.
- Used in tasks such as translation, filtering spam, and sentiment analysis.
- Includes POS tagging, parsing, sentence breaking, and terminology extraction.
- Used in pre-processing, generating features (like Bag of Words), classification, and clustering.
- Critical in Sentiment Analysis to understand and determine feelings or opinions toward a topic.
Sentiment Analysis
- Determines positive, negative or neutral sentiment in text.
- Analyzes feelings and opinions in text.
- Used to identify how people feel about products, services, or topics.
Uses of NLP and Sentiment Analysis
- Improve customer services, aid innovation, analyze trends, predict stock performance, analyze marketing campaign performance in a cost effective manner.
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Description
Explore the various approaches used in marketing decisions, including heuristic methods, anchoring and adjustment, and scientific strategies for profit maximization. This quiz dives into how these methods influence resource allocation and market performance. Test your understanding of experimental-based attribution and its role in marketing effectiveness.