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The ever increasing volumes of data is one of the biggest challenges enterprises face today. The reason there is so much data is because enterprises have information accumulated from various sources, and in diverse formats. What makes it important is the fact that it holds valuable insights that can be used by the business to make data driven decisions. And what makes analyzing it challenging is the fact that majority of it is unstructured, which makes it impossible to analyze it using the traditional keyword based method.

So, one may ask what is the solution. The solution lies in the new age enterprise search tools like 3RDi Search and Coveo have a text analysis API to analyze the most complex unstructured data to reveal the insights within. In fact, these are the tools an enterprise needs today to manage and organize the diverse forms of data that are collected. What makes such a software a good investment is the fact that it has powerful features built-in that cater to every text analysis and text mining requirements that organizations may face when dealing with enterprise data. Here are the key features that a new age text analysis API offers.

1] Recognition of Named Entities

A very important feature offered by new age text analysis APIs, named entity recognition is also known as entity recognition or entity chunking. It is a process that involves the classification of all the named entities present in the data, such as names of people, places, books, etc., into pre-defined categories. The names entities are extracted and placed under relevant categories. This is a very powerful feature to extract information from unstructured data real fast.

2] Detecting Semantic Similarity

Semantics is the technology involved in deriving meaning of unstructured data. Semantic similarity is a technology that classifies entities in unstructured data on the basis of their meaning, and it’s a very effective method to classify data and helps in quick analysis of unstructured data.

3] Sentiment Analysis

A powerful text analysis feature, sentiment analysis refers to analyzing a piece of content to derive the sentiment or emotion behind it. Using this technology, it is possible for the text analysis API to “understand” whether the piece of text depicts a sad or happy emotion. One of the key applications of sentiment analysis is the analysis of data derived from social media. This data can be analyzed to successfully understand what the users think about the brand or the product.

4] Natural Language Processing

Natural language processing or NLP is one of the key features required for effective text analysis. NLP helps the software to understand and process the natural language spoken by human beings. Without NLP technology, users are required to interact with machines through a language understood by machines. However, NLP can make it possible for humans to interact with machines directly and take inputs and provide outputs in the human language. Home assistant devices like Google Home are a good example of the application of NLP.

5] Extraction of Key Phrases

Another important feature of the text analysis tool is extraction of key phrases. There was a mention of named entity extraction in the previous section of the article, and here it is about extraction of key phrases. This technology is really useful in getting an idea about the theme or subject of the content, and you find it in every new age enterprise search tool.

The Final Word

That was about the most important features of a text analysis API. In addition to those mentioned here, there are a lot of other features that text analysis tools would provide. However, which software to choose depends entirely on the requirements of the organization.

According to some stats, the Apple App Store receives around 100,000 new apps every month. It makes it very hard for your app to stand out on the App Store. In its early days, people were relying on things like review blogs, word of mouth and more to download an app.

However, with millions of apps live today, users are not able to distinguish which ones to download. Stats by Apple say that 65% of all the iOS apps get discovered through the App Store search. It means that your ASO (App Store Optimization) is in-line with the best chance of getting recognized in relevant search results. Without excellent ASO, your app will miss out on millions of free organic downloads and might get buried on the App Store.

Let’s discuss some of the facets that will help companies developing iOS apps master ASO for iOS:

Testing – Testing your app before launch is the key to success and ASO requires much testing. The app marketers test a couple of optimizations, and they have to give when the optimizations don’t work. Therefore, it is significant that you also look into the tools outside the App Store for testing.
Keyword Optimization – One factor for which most of the app publishers are keen about is the keywords. It is significant to start with keywords as everything else doesn’t matter if people can’t find your apps in the search. The four places where you can add the keywords to your app are – a) the App Title, b) the Keyword Field, c) Subtitle, and d) In-App Purchases. Optimize these fields by choosing the best keywords of them.
Keyword Field Optimization – The App Store has a dedicated field for keywords, and therefore its constraints must be taken into account while selecting the keywords. Here’s the list of what you must know to optimize this element of ASO:
1. Character Limit as 100

2. Multi-word Keywords – Apple recommends to put a comma between all the individual words like fire, truck, game.

3. Cross-country Indexing

Optimizing the App Name – With the launch of iOS 11, Apple has reduced the number of characters for app name from 50. It allows you to use a maximum of 30 characters for the name of your app. Also, the app name now appears for all the Apple devices, iPad Apple Watch and more on the App Store. It is recommended to use as many of the 30 characters as possible.
Icon Optimization – Another most significant factor for ASO is optimizing the app icon. It is the first element that people will see while finding your app in the search. Icon optimization will make your app have a fantastic first impression. Ensure that the icon is clear and conveys what your app is all about. Also, avoid using words on the image, and the focus must be one feature or character of your app if it’s a gaming app.
App Screenshots and Preview Videos –
1. Use a text banner for the screenshot

2. Put your app’s best feature in the first screenshot

3. Use all the available screenshot slots.

4. Follow all the requirements by Apple for preview videos

5. Have an eye-catching first frame

6. Ensure all the elements in your video are legal to use

Final Thoughts on App Store Optimization for iOS

Here is everything for optimizing your application for the Apple App Store. They may seem a little overwhelming in the beginning, but if you take one step at one time, you will see excellent results and your app will expedite in the organic downloads.