We use reviews of more than 250 apps from the Google Play app store. Our results found an average of 3.60 stars rating, where the actual average rating is 3.08 stars. The results show that the reviews have more positive sentiments than the actual ratings. Out of four models trained on four different datasets, we found promising performance in two datasets containing a necessarily large amount of unbiased reviews. We use BERT-based sentiment annotation to create unbiased datasets and hybridize RNN with LSTM to find calculated ratings based on the unbiased reviews dataset. For this reason, we conduct this average rating calculation process based on the sentiment of user reviews to help software developers. Focus on your meeting click record to leave the note taking to Zoom’s auto-generated, searchable transcripts. And it has been the main problem to fix those bugs using user ratings for software developers. Zoom Meetings for desktop and mobile provides the tools to make every meeting a great one. But most of the time the ratings and reviews are created contraposition between them because of the users’ inadvertent in giving ratings and reviews. To fix those bugs introduce developer needs users’ feedback based on the new release of the application. Which makes the chances to have lots of bugs during the release of new versions. For providing proper functionalities require in this situation of online supports the developers need the frequent release of new versions of the application. The online meeting app the “Zoom Cloud Meeting” provides the most entire supports for this purpose. All the educational institutes run their academic activities online. The recent outbreaks of the COVID-19 forced people to work from home.
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