speech on topic progression of models
Answers
Answer:
Explanation:
Topic ModellingTopic Modelling is one of the tools we use to analyse text data in structured, ordered and quantifiable manner. At the beginning of the process, the analyst is faced with a mass of unorganised documents. Post-analysis, one can expect a structured list of topics, with detailed information about the frequency, association and sentiment. We can glean customer insights almost instantly.
Why is Topic Modelling important?
‘What are people talking about?’ is a question that we often want to answer with regards to social media data. ‘What are people saying about my brand?’ ‘What is driving customer satisfaction?’ ‘How can I take action to improve profitability?’ are more specific questions which an analyst may answer, in part, through collecting and monitoring data: tweets, product reviews, satisfaction questionnaires. We like to add the follow-up question of ‘How are they talking about it?’ which involves sentiment analysis.
However, as text proliferates, understanding the data in any meaningful way becomes much more difficult. It is hard to process written opinions and reviews numbering in the thousands or millions. It becomes tedious, time-consuming and in some cases impossible. A human analyst must rely on one of two choices. The first generalising from a smaller sample of the data. The second is using anecdotal evidence plucked from a small number of reviews. This kind of analysis is clearly open to human and sample bias. The alternative is automation, in the form of topic modelling.