Merge pull request #38 from ppival/patch-15

Fix grammar and clarity in AI chat documentation

Author: ccbogel

docs/doc/en/5.1.-AI-chat-based-analysis.md

@@ -10,10 +10,10 @@ The AI Chat tab in the main window allows you to discuss certain aspects of your
 
 Note that the AI must be **fully loaded** and ready for new queries ("AI: ready" in the status bar) before you can start a chat.
 
-On the left side of the Ai Chat tab, you will see a list of all previous chats in your project. Double-click on a chat (or press F2) to **edit the title** for better organization. 
+On the left side of the AI Chat tab, you will see a list of all previous chats in your project. Double-click on a chat (or press F2) to **edit the title** for better organization. 
 
 ## Topic analysis chat
-- Gives you a quick overview about a certain topic, concept or phenomenon in your empirical corpus without coding your data first.
+- Gives you a quick overview of a certain topic, concept, or phenomenon in your empirical corpus without coding your data first.
 - Use this as a first exploration and to familiarize yourself with the data.
 - Is based on the same search technology that also powers the [AI Assisted Coding](https://qualcoder-org.github.io/doc/en/4.2.-AI-Assisted-Coding). 
 
@@ -43,7 +43,7 @@ Remember that this is a **chat:** you can ask follow-up questions or discuss the
 - Allows you to analyze selected passages from empirical documents with the AI.
 - Provides support or additional ideas during the detailed text interpretation phase.
 
-This analysis will first switch to the **text coding workspace** (Menu: Coding > Code text). There you can open a document, select the text you want to analyze, right click on it and choose "AI Text Analysis" from the context menu (will be greyed out if the AI is not yet fully loaded and ready). A submenu will open, allowing you to choose between different types of text analysis:
+This analysis will first switch to the **text coding workspace** (Menu: Coding > Code text). There, you can open a document, select the text you want to analyze, right-click on it, and choose "AI Text Analysis" from the context menu (will be greyed out if the AI is not yet fully loaded and ready). A submenu will open, allowing you to choose between different types of text analysis:
 
 <img src="https://github.com/user-attachments/assets/0554a1b0-ee82-433e-bfd1-2f9065df833c" width=500em alt="Screenshot text analysis submenu">
 
@@ -67,12 +67,12 @@ If you want to **define your own types of text analysis**, you can do so by addi
 From the AI Chat tab, click "New > New Code Analysis Chat". In the following window, select a code or a category you want to analyze, and choose between several analytic prompts:
 
 - **Code summary** will give you an overview of the data associated with the selected code
-- **Analyze unexpected** will look for the most interesting, unexpected insights in you coded data
+- **Analyze unexpected** will look for the most interesting, unexpected insights in your coded data
 - **Analyze differences** will examine whether there are significant differences between your empirical cases/documents with regard to the selected code. 
 
-Note that a code analysis will send **all the data collected under that code or category** to the AI, up to the maximum input length set for the AI model, which is about 100 pages of text in the case of GPT-4 turbo. At the time of this writing (Nov 2024), sending a 100-page text to GPT-4 turbo for analysis would cost you about 60 US cents. Your actual requests are likely to be much smaller and cheaper. However, keep the cost in mind when doing extensive code analysis with the AI. 
+Note that code analysis sends **all the data collected under that code or category** to the AI, up to the maximum input length set for the AI model, which is about 100 pages of text for GPT-4 turbo. At the time of this writing (Nov 2024), sending a 100-page text to GPT-4 turbo for analysis would cost you about 60 US cents. Your actual requests are likely to be much smaller and cheaper. However, keep costs in mind when conducting extensive code analysis with the AI. 
 
 ## General chat
-- Ask the AI anything that is not directly related to your data – basically a build in ChatGPT.
+- Ask the AI anything that is not directly related to your data – basically a built-in ChatGPT.
 
-Use this for testing and for brainstorming with the AI about theories, methodology, or what to cook for the next dinner with the research team. Note, however, that this chat has no access to your data and relies only on the internal knowledge of the language model.
+Use this for testing and for brainstorming with the AI about theories, methodology, or what to cook for the next dinner with the research team. Note, however, that this chat has no access to your data and relies solely on the language model's internal knowledge.