Question

Q1. Your goal is to build a model to predict how people will adopt a new mobile application. Draft a proposal for a project with the following components:

1) Two research questions (it should be written in the form of the question)

2) Textual and Non-textual data source and collection method (what would be the potential source for data, how do you collect it, how many samples do you need?)

3) Appropriate text analytics method to answer your proposed research questions

4) Limitations of your proposal

Answer 1

The proposal includes two research questions on predicting adoption of a new mobile application, data collection methods include app usage logs, user feedback surveys, and social media data, and sentiment analysis is proposed as the text analytics method. Limitations include sample size, data quality, and considering other factors affecting adoption.

Step-by-step explanation:

Research Questions:

1. How does the level of user engagement affect the adoption of a new mobile application?
2. What role does the usefulness of the application play in the adoption process?

Data Source and Collection:

The potential sources for data could include app usage logs, user feedback surveys, and social media data. App usage logs can be collected through the application itself, while surveys can be conducted to gather user feedback. Social media data can be collected using data scraping techniques.

Text Analytics Method:

To answer the research questions, sentiment analysis can be used to analyze user feedback and social media data. This can help determine the level of user engagement and perception of usefulness.

Limitations:

• The sample size of users needs to be sufficient to ensure representativeness.
• The accuracy of sentiment analysis may depend on the quality of user feedback and social media data.
• Other factors influencing adoption, such as marketing strategies, may need to be considered.