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Editor's Notes

• #2: Good morning everyone, my name is Vincent Tatan and this is Ranon Sim and Smeet Malvania. I’m the leader of the triSAS team and we are going to present to you about our report Limitation: Anon, anony, anonymous. Etc TODO: Timeline tracker Principal component Analysis Image The When part: Whether we should have planned our release date (will help reconsider  to companies diff release strategy) Plan what release date gives optimum (count reviews, count positive reviews)
• #3: Release Strategy: Optimize positive reviews and sales by knowing what specs to target, who to reach out, and when to release our next release. The followings are the the topics that we would like to cover today. First of all we would to advise the proper release strategy so that companies could get well received reviews in the future. And in order to answer this , we split the objective into 3 manageable questions: What specs should I release for my next product offering? Who: who to push new releases to? Or who are the reviewers that we could ask for more feedbacks? When is the right season to release my product (i.e. when reviews are most well received (review counts, satisfaction counts)? -> ->
• #4: Exploratory data analysis: Filtering some columns that we find redundant. Making sure that the month and year released are expressable in date time and quarter format Afterwards, we also cooked up sentiment analysis which using python TextBlob library a part of python NLP natural language processing library that could determine the polarity and subjectivity of each row of body. We will explain further during our demo later on Afterwards, we used this filtered data and sentiment anlysis to further analyse the topics using SAS EM and SAS TM. But before this analysis, we sampled the data using stratified sampling method based on the product type. So that we are able to differentiate our analysis into two market: tablets and phones. And we could get samples large enough to represent both product types Finally, we did last transformation that includes Dominant topic extraction for each row of body and use SAS VA dashboard to drill down so that we could have more comprehensive analysis and insights.
• #5: So now, let us answer the “what” for our first question. What are the topics of specs satisfactions and dissatisfactions for both tablet and phone? And we would like to find out more in the sense of the companies that are being talked the most for each category, the models, and the trends. And the following at the right side, is also our methodology to come up with the answers. Which will be brought further during the demonstration
• #6: So these are the key findings. We actually come up with the top specs topics and the brands according to their sentiments and product type. You could also see the pictures that we used to answer these questions
• #7: who are genuinely interested in my product and who provide the most informative assessments of my product/products
• #8: This chart is meant to give a quick overview/insights on the behavior of the top 5 most informative reviewers according to posting frequency. For example, Tcool seems to be the most active reviewer, Egyption seems to be quite interested on a single Lenovo brand whilst Sam appears to have quite abit of engagement with multiple Microsoft products. We can of course delve deeper into things like the reviewers’ polarity trend across different products but this will be covered later.
• #11: All the aforementioned insights can be summarized in this slide. To understand the process and methodology that led up to these insights, Vincent will now conduct a demonstration using SAS VA !!!!!!! So these are the conclusions that we received from combining all the insights. We would definitely love to share with you our findings during our poster demonstration. Thank you.