There are some ‘BASIC’ methods in text analysis and then there are some ’ADVANCED’ ones!

But first, “Get your BASICs right” (lol! No, not needed :P) You can directly jump to reading the Advanced techniques (link at the end of the page) (but, don’t skep THEM!)

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There are 3 Basic methods.

1. Word frequency

The number of times certain words or concepts occur in a text. Simply speaking, it helps you to identify the popular words or expressions used in any sort of conversation.

For example: For a retail clothing brand, if most customers use the word ‘expensive’ often. …

As mentioned in my previous blog, “There are some ‘BASIC’ methods in text analysis and then there are some ’ADVANCED’ ones!” This blog will specifically talk about the ‘Advanced’ techniques.

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Advanced techniques:

More useful in text analysis performed by businesses these days. These are the techniques that you look for in any text analytics vendor before contracting with one.

Text classification

It is the ability to classify/tag texts under different categories, using trained models on text classifications. It is a form of supervised learning, hence the set of possible classes are known/defined in advance, and won’t change.

The most common classification tasks are topic classification, sentiment analysis, intent classification and language detection. …

You are communicating all the time!

Be it with your family, neighbours, manager, customer, client, pets, alien, spirits, self, or with anyone in your parallel universe.

These communications can happen either in the form of a ‘speech’, ‘text’ or ‘gestures’. And every single one of them carries an insight, be it relevant or not.. Right!?

Now, all those human conversations that you can avail in the form of text including those which can convert from speech-to-text, can be processed by a machine to extract relevant insights.

Wait, what about Gestures? — No!

Pet’s Bow-wow? — No No!!

So, what is Text analysis?

Text analysis is Natural Language processing (NLP) that processes unstructured text(s) to automatically extract and classify relevant information out of them using different techniques such as Topic extraction, Sentiment analysis, Aspect classification, Named entity extraction, and more. These texts could have been generated in different sources such as survey responses, emails, product reviews, tweets, support tickets, etc. …

Have heard enough about the London Bridge, the Buckingham Palace, Queen, Prince and Princess… but have you ever been to Shanghai !?

If you have a day to spare for a tour, China has immense to offer and Shanghai is definitely a place worth a visit.

(Medium blogs are usually old-school light-weight text. However, I prefer to go against the tide and make it more picture-narrative since my topic is about travelling!! :D)

Brief history: Unlike many cities in China with long and varied histories, Shanghai’s history is quite short. Before the first Opium War (1840–1842), Shanghai was just a small fishing village on the edge of the muddy Huangpu River. After the war, the British opened a concession in Shanghai and that ignited its evolution. It became a treaty port and had some of its land opened as concessions. …

About

Aishwarya Prasad

adventure lover | such a traveller | dances out her joy | laughs her heart out | APM@Dropthought

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