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WEB MONITOR ALALYIZE RESPONSE HOW TO
WEB MONITOR ALALYIZE RESPONSE MANUAL
WEB MONITOR ALALYIZE RESPONSE SOFTWARE

To create a new prompt, such as “Simplify this down to 200 words, using less technical language”.

It is important to use this option because in your specific context one response may be more suitable than others, and ChatGPT won’t know the details of your context, unless it is described in the prompt This can be done multiple times, until new variant responses are no longer generated.

To click on “Regenerate Response” to create an alternative body of text to the one already shown.

You can see prompt I have written in the top of the white section. Here below is the user interface, seen after you have logged on. I need to give these more of my attention How it works – from a user perspective I am less certain on criteria such as transparency of process and replicability of results. Primarily on criteria such as flexibility and usability. I have experimented with some of these methods, including clustering tools like Topic Modelling, sentiment analysis methods, and noun and key word extraction tools.įrom my limited experience to date, ChatGPT seems likely to leave many of these tools behind.

These are generally described as text analytics, text mining and Natural Language Processing (NLP) methods.

WEB MONITOR ALALYIZE RESPONSE SOFTWARE

In recent years a number of different software packages have been developed which are useful for different forms of content analysis.

WEB MONITOR ALALYIZE RESPONSE MANUAL

Manual analysis of this material can be very time consuming. records of individual interviews and group discussions.official documents describing policies and programmes,.The challenge: Evaluators often have to deal with large volumes of text data, including Why: This is my current interest, where I think ChatGPT is already useful in its current form

WEB MONITOR ALALYIZE RESPONSE HOW TO

Here is an introductory video providing a beginners guide to how to access and use ChatGPT: Using Chat GPT to analyses bodies of text However, it is important to note that while ChatGPT is highly advanced, it is not a human and may not always understand context or nuances in language and may produce errors or biases present in the training data”. The model can be used for various applications like virtual assistants, chatbots, automated writing and more. It can also generate creative content such as stories and poetry. ChatGPT is capable of understanding and generating text in multiple languages, and can respond to a wide range of questions, prompts, and commands. It has been trained on a large dataset of text from the internet, and can be fine-tuned for specific tasks such as language translation, text summarization, and text generation. It is based on a deep learning technique called transformer, which allows it to generate human-like text. The response: “ChatGPT is a language model developed by OpenAI.

I asked ChatGPT this question: “Describe ChatGPT in 200 words, for a general, non-specialist reader”

See also this newer page Exploring the text analytic capacities of GPT4.

Lame criticisms – a miscellany with some responses.

Other applications that may be useful to evaluators.

Extracting causal theories – Steve Powell’s explorations.

Using Chat GPT to analyses bodies of text.

Warning: This post is a bit of a ramble, with new sections being added to the end, as further thoughts come to mind.