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- My phone installed hancom office s viewer by itself update#
- My phone installed hancom office s viewer by itself android#
- My phone installed hancom office s viewer by itself pro#
- My phone installed hancom office s viewer by itself code#
My mixed use gets me anywhere from 8 to 12 hours before plugging it in for a charge, depending on what apps I'm using and what the brightness/volume is set at. Larger, longer lasting battery rated at 13 hours (9,500 mAh) versus the 14E's 9 hours (8,220 mAh). Do your research, this is a 12 inch tablet so don't be surprised and don't consider it a downside. I find that a 10 inch screen is too cramped to comfortably write notes on.
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The palm rejection does a great job of making sure only the stylus gets recognized for input (if you want that on). This means writing on the NP12 with the stylus while in portrait mode is very much like writing on a real piece of 8.5 by 11 inch piece of paper, aka standard notebook paper. Over 2 extra inches of real estate on the screen. Let's go over some of the features that the NP12 has over the 14E. Both tablets are about the same when it comes to hardware but there are other major differences between the two. This was a large factor in my decision to go with the NP12 over the 14E. Even having pages of the magazine feeds and widgets running it still allocates memory usage better and best of all: no pesky My Magazine app! Luckily I was able to compare both tablets side by side at the local Best Buy.
My phone installed hancom office s viewer by itself pro#
Thankfully the Note Pro 12.2 ("NP12") doesn't have this issue as it hovers around 1.2GB of memory used after a reboot. I noticed that the 14E was constantly using 1.5-1.7GB of its 3GB RAM total at all times even after factory resets, disabling apps and reboots. It constantly hogs system resources as it runs in the background even after forcing shut downs of the app, and disabling the Home button link to this app didn't help as it would just keep running in the background. Comparing the Note 10.1 2014 Edition and the Note Pro 12.2: One big issue that annoyed me with the Note 10.1 2014 Edition ("14E") was the ridiculous My Magazine app that never goes away. Just before doing so I read of a possible 12" model coming out in the following year so I figured another 6 weeks of waiting can't hurt and patience definitely paid off. Originally I had my eyes set on the Samsung Galaxy Note 10.1 2014 Edition (32GB, Black), after months of waiting and playing I decided to bite the bullet and buy it.
My phone installed hancom office s viewer by itself android#
Thanks to my Note 2 I have a little over a years of experience with Android OS but I knew what to expect from the Note Pro 12.2. I've been waiting a long time for a tablet like this to be released: a large screen, expandable memory and the freedom of Android.
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My phone installed hancom office s viewer by itself update#
It seems like every time they update Dolphin there's a chance for Flash to no longer work without jumping through more hoops *** I come from a Windows OS background and I'm an ex-Apple iPhone (now Galaxy Note 2) and iPad user. R3M37E07KXEPVPĕ.0 One hell of a tabletđ190đ214 *** Updated - if you're using Dolphin Browser with Adobe Flash player do yourself a favor and do NOT update Dolphin Browser if prompted to in the Google PlayStore. Product_id.txt - a file that contains reviews about a product. The commit history for the changes that I made to the forked version.
My phone installed hancom office s viewer by itself code#
Version was outdated, so i had to rewrite the whole code that are used for data collection for this project. Note: Data is collected using the customer-review-crawler which isįorked from maifeng's crawler written in java. Product_id and all the metadata about the products are stored in a file called iteminfo.txt. The reviews file for a product is named by its Review_title, helpful_votes, total_votes and full_review. Each review in a file contains review_id, ratings, Reviews are more than sufficient for the summarization task. Since the reviews are sorted by ranking, the first thousand The dataset contains products' reviews in separate filesįor each product, each file contains maximum of 1000 reviews. The dataset used for this project is crawled from. Summarization algorithms and getting the final summary in Apache Spark. The main tasks involved in this project are data collection, data cleaning, implementation of two Most important reviews that many customers complaining or praising about a particular product without reading all of The result of this model can be used to get an overview of what are the Product to give an overview about the product. The idea of this project is to build a model for e-commerce data that summarize large amount of customer reviews of a Product Review Summarizer Table of Contents