Voice is gaining ground , but today Internet users who communicate with others do so 80% of the time through written language.
Companies should not go looking for their consumers outside because they are on the Internet talking about their products and services.
There is an excess of information that cannot be indonesian phone numbers processed or is difficult to process, for example, the language of consumers on the Internet.
Speed, because there is nothing faster than real time
The conversations are happening now, as you read this post, and we cannot standardize the reception of data.
Not to mention multiple responses, for example, you publish a post and it receives responses that are more and more data.
Variety, because they are unstructured data
Traditional tools cannot categorize it (it is not an invoice or customer number) and therefore its analysis is impossible.
These three V's can be applied to any sector or data, but on this occasion we are going to focus on language, because at the moment it is the only way to analyse sentiment.
I say for now, because the voice is the next step and I am sure that we will be able to analyze elements as subtle as intonation .
Therefore, if we want to analyse the sentiment on the Internet regarding a brand, product or service, we have to analyse the mass language of consumers on the Internet.
An unstructured and natural language, and this is where the problems begin.
The language of the social web and computational linguistics
Imagine a conversation between two users on Twitter about a product, a comment on Amazon or a review on Google Books.
Can you imagine being able to massively analyze these conversations and classify them as positive, neutral and negative?
That's Internet sentiment analysis, the average between positive, negative and neutral comments about a product or service.
This is the cycle of the value of written language, the main asset of the information society.