Uploaded by Nguyên Lê Minh

Data Analysis using ChatGPT

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DATA ANALYSIS USING
ChatGPT
Awafina
K224161809
Lê Hoàng Giang
K224161829
Lê Minh Nguyên - Leader
(nguyenlm22416c@st.uel.edu.vn)
K224161835
Đào Đình Thái
CONTENT
01
Quick overview
02
Benefits for Marketing Analytics
STRENGTHS
01
Generating plausible responses
02
Self-improving capability
03
Providing personalised responses
04
Providing real-time responses
05
Increasing accessibility of information
Generating plausible responses
Transformer architecture for natural language
processing tasks: language generation and
understanding
Modeling relationships between words in a
sentence preserving context and generating
responses that are both coherent and relevant
Self - improving capability
Using a more language processing model called
generative pre-training (GPT)
Using reinforcement learning
The increase in data helps ChatGPT constantly
improve, which means it can become even more
accurate over time.
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Providing real - time responses
The processing speed of ChatGPT can vary depending on various
factors such as the complexity and amount of queries.
ChatGPT is able to understand complex inquiries and provide
relevant answers in real-time.
In a study to investigate the potential of ChatGPT for academic
writing, the response rate is less than 2 minutes for 300-500 words.
This capability can significantly simplify the process of obtaining
information, as users no longer have to manually search through
multiple sources and search engines.
This feature can have tremendous benefit for the need for quick
decision-making
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Benefits
for
Marketing
Analystics
Efficient Content Creation
Real-time Market Trend Tracking
Content Strategy Recommendations
Data Analysis Assistance
Improved Customer Support
Personalized Marketing
In Summary
ChatGPT streamlines task,
make time consuming task
faster, ultimately contributing to
the success of marketing
campaigns and strategies.
SOME PLUGINS
OF CHATGPT
Let's refine the benefits of ChatGPT for marketing
analysts based on the information provided.
Key Features:
Webpage Interaction: The plugin can visit a specified
webpage and retrieve its content. This allows the AI to
interact with the web in a read-only manner.
Description:
A plugin integrated into the ChatGPT AI model.
Being designed to interact with webpages, allowing
the AI to retrieve and process content from specified
URLs.
This tool can be particularly useful for users who need
to extract specific from online resources.
Content Processing: If the user has specific requests,
the plugin can process the retrieved content based on
those requests.
Information Extraction: The plugin can extract
specific information from the webpage based on user
requests.
Benefits:
Automated Information Retrieval: The plugin
automates the process of retrieving information from
webpages, which can save time and reduce the risk of
errors in manual data entry.
Flexible Content Processing: The ability to process
content based on user requests can be useful in data
analysis. For example, a user could request the plugin
to translate a foreign language article into English,
making the information accessible for analysis.
Scalability: The plugin can handle any number of
requests, making it suitable for tasks that involve large
volumes of data.
A powerful tool designed to generate and
display diagrams based on user prompts.
Can be used to explain concepts, describe
processes, or visualize data in a more
understandable and engaging way.
Show me Diagrams
Key Features:
Variety of Diagram Types
Multiple Diagram Languages: It supports various
diagram languages like Mermaid, PlantUML, D2,
etc...
Inline Diagram Display: Once the diagram is
generated, it can be displayed inline in the chat for
easy viewing
Diagram Editing
Diagram Code Display: The plugin can show the
diagram code if the user requests it
Improvement Suggestions: It can provide ideas
for improving the diagram
Show me Diagrams
Benefits:
Visual Representation
Efficiency
Versatility
Improvement Suggestions
Thank You
For Your Listening!
Reference:
Sun, G. H., & Hoelscher, S. H. (2023). The ChatGPT storm and what faculty can do. Nurse
Educator, Publish Ahead of Print, 10–1097. https://doi.org/10.1097/NNE.0000000000001390
[Google Scholar]
Sinha, R. K., Roy, A. D., Kumar, N., Mondal, H., & Sinha, R. (2023). Applicability of ChatGPT in
assisting to solve higher order problems in pathology. Cureus, 15(2).
https://doi.org/10.7759/cureus.35237 [Google Scholar]
Sallam, M. (2023, 2023-02). The utility of ChatGPT as an example of large language models in
healthcare education, research and practice: Systematic review on the future perspectives and
potential limitations. medRxiv. https://doi.org/10.1101/2023.02.19.23286155 [Google Scholar]
www.tandfonline.com. 2023. Full article: A SWOT analysis of ChatGPT: Implications for
educational practice and research. [ONLINE] Available at:
https://www.tandfonline.com/doi/full/10.1080/14703297.2023.2195846. [Accessed 22 September
2023].
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