Answers.Body: <p>There are a few different ways you could frame the problem...</p>
  
  <p>For example, the simplest, yet probably not the most effective, would be to treat it as a supervised classification task.</p>
  
  <p>In this case, you would gather data, split it into 2 classes(binary). With one dataset consisting of dialogues and the other monologues. Obviously, this framing comes with it's own set of problems. Namely, how do you prepare the dataset, or how do you deal with live examples?</p>
  
  <p>Of course, there are other ways you could tackle the problem, perhaps the detection context. It all depends on what you feel is the easiest tenable solution given the variables involved in your specific instance.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-06-07T13:23:54.230Z
Answers.LastActivityDate: 2019-06-07T13:23:54.230Z
Answers.UserDisplayName: hisairnessag3
Body: <p>How do I identify monologues and dialogues in a conversation (or transcript) using natural language processing? How do I distinguish between the two?</p>
  
Tags: <machine-learning><natural-language-processing><machine-translation>
Title: How do I identify a monologue or dialogue in a conversation?
UserDisplayName: Surya Shrivastava
ThreadText: # How do I identify a monologue or dialogue in a conversation?
  
  (Asked by: username_0 on 2019-06-03)
  
  How do I identify monologues and dialogues in a conversation (or transcript) using natural language processing? How do I distinguish between the two?
  
  **Tags:** machine-learning, natural-language-processing, machine-translation
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2019-06-07. Score: 1
  
  There are a few different ways you could frame the problem...
  
  For example, the simplest, yet probably not the most effective, would be to treat it as a supervised classification task.
  
  In this case, you would gather data, split it into 2 classes(binary). With one dataset consisting of dialogues and the other monologues. Obviously, this framing comes with it's own set of problems. Namely, how do you prepare the dataset, or how do you deal with live examples?
  
  Of course, there are other ways you could tackle the problem, perhaps the detection context. It all depends on what you feel is the easiest tenable solution given the variables involved in your specific instance.
  
  
  ---
  
  