The phrase "analysis of the conversation" is correct and usable in written English.
It can be used when discussing the examination or interpretation of a dialogue or discussion between individuals.
Example: "The analysis of the conversation revealed several underlying themes that were not immediately apparent."
Alternatives: "examination of the dialogue" or "evaluation of the discussion".
An analysis of the conversation on Twitter shows how important it is for the movement to have real things on the ground to talk about.
They later receive an analysis of the conversation delivered through text message that breaks down the amount of affection, surprise, concentration and honesty of the other speaker.
The text of the transcription is categorized by pre-set topics such as "budget," "timeline," "pricing," "competitors," and "urgency". The analysis of the conversation shows which topic was discussed, when, and by whom, how much a sales person is talking vs. listening, which questions are asked, and the objections raised.
The data were analysed in two ways to answer the research questions: a narrative analysis of the conversation processes (what happened) and a coding and structuring analysis of the coping strategies (how do teacher respond).
The analysis of the conversations across tasks showed that participants went through the same patterns of engagement as they tried to establish their joint ownership of the tasks and intersubjectivity.
The analysis of this conversation is limited to being descriptive in nature owing to the nature of the subject material.
Now, a year later, one organization has released a data analysis of that conversation, calling it "a milestone in domestic violence history" worth cataloging and commemorating. .
In this paper, we report our qualitative analysis of the biologists' conversations about HOCS questioning.
The first stage of the analysis of the telephone conversations involved familiarisation with the data by reading and re-reading the notes and quotes.
Continued analysis of these conversations is important for tracking the progress of immigration reform, but also for better understanding the relationship between social media and public opinion.
Automated text analysis of these conversations found that customer satisfaction is higher when front-line employees dynamically shift from deferent words (e.g., afraid, mistake, pity) to more dominant language (e.g., must, confirm, action).
