I want to extract interesting topics from online reviews left by my client’s customers. The reviews are actually questions left by the client’s customers regarding product characteristics. The objective of the project is to understand what are the most common questions being asked by the customers in order to be able to answer them better in the future.
A total of 13.436 reviews have been grouped in a Microsoft Excel Worksheet (5.424 KB file) and already broken down into topic categories, topic types and topic themes using an Excel plugin called MeaningCloud.
The freelancer will need to go through the Excel file and do their magic to extract meaningful data.
Any other ideas on how to do the job are more than welcome since I’m not really an expert.
I am not looking for one or two-word topic chunks. I want to know what are the most common questions my clients are asking? And these must be divided by category i.e. questions about the property, questions about the booking process, questions about rent conditions or house rules, and so on.
22 freelancers están ofertando el promedio de €166 para este trabajo
I am a professional freelancer and utilize data mining techniques to evaluate the text-based data. I can complete your task effectively and efficiently in a timely manner.
I have a long experience with Excel, because I work with it every day for more than 20 years. I usually can finish a standart work in a single day, but it depends on the type of task.
Hello, I have been scripting with python for over 5 years. I have a concentration in machine learning and NLP(Natural Language Processing). Regards, Steven
Sir, I am a data entry expert. I need job. I have read your proposal and I think its very easy for me. If you choose me, then I will give you my best effort. Thanks Nirod Biswas