Your Guide to Text Classification Outsourcing

Text is known to be one of the people’s favorite things to check when they want to get information. Getting the right insights from the text can be a different story. It can take a lot of time, especially whenever people have to deal with unstructured text. This is the reason why text classification is important.

Have you ever wondered how email marketing works? The emails will be sent to targeted customers. How will they be targeted? It will depend on how effective the text classification process is.

There are advances in machine learning and artificial intelligence that has allowed text classification to sort data easily. Text classification tools can be used to sort text effortlessly especially when you compare it to how people used to sort text before.

What is Text Classification?

This is a type of machine learning technique wherein different labels will be placed on the text to make the text easier to classify. The text classifiers or labels can be used to help the text be placed by machines in different categories. This can be applied to all types of texts from varying industries. It can be applied to some medical documents or even some general files that can be found on the internet.

How Does Text Classification Work?

Text classification can be done by using text annotation software. This can make changes for the following:

  • Articles that are found on a website can be sorted by the topics that they fall under.
  • The support tickets that are submitted by people can be sorted depending on their urgency.
  • The conversations that are written in chats and emails can be sorted depending on the language used.
  • It will be easier for companies to look for their brand name online.

Using text classification can make it less complicated to look for the right details on the world wide web. The internet is a vast world and some of the information that people are looking for can be hard to find.

Finding someone who can do text classification outsourcing will be able to place the right labels on a phrase or a sentence. The content will be analyzed and related tags will be assigned to the text.

Data Classification Market Trends

Data classification has been around for years but it has improved steadily. Companies are more interested now in looking for people who can provide text annotation outsourcing services to ensure that the process will be done correctly. What are the expected market trends for the years to come? These are some of the things to expect:

  1. Sensitive data will come with a more improved risk assessment tool. This will lessen the chances that important and sensitive data will not be accidentally leaked.
  2. A more formalized classification policy will be available for every company that might need it. Companies will always require different things depending on the type of data that they handle every day. They can choose the right people who will be trained to properly annotate their data.
  3. Unstructured data is expected to be easier to annotate in the future. People are now using metadata-driven systems. They can classify the data easily depending on the assigned metadata to the unstructured data.
  4. Business value can increase with the use of text classification. Companies can come up with more quality content that they will share with their potential customers. Customer data can be thoroughly checked so that companies can provide what people expect them to give.
  5. Data storage will not be as heavy as it is right now. Companies are usually problematic about their storage because of NLP. The data can now be transferred to the cloud so that the data will be easily available.

Examples of Text Classification

 Different types of text classification can be done by text annotators. It would depend on what will be recommended by a part time remote chief marketing officer. Some examples include the following:

  • Sentiment Analysis – This is the most popular type of text annotation. The text will be classified depending on its polarity. Some of the text can be neutral. Some can be positive while others are negative. This can be used for market research, customer support, and so much more.
  • Language Detection – This is a process wherein the possible text that will come after a sentence will be predicted depending on the language used.
  • Topic Labeling – This is a type of text classification wherein the machine can detect what the topic is. This is helpful for companies that want to learn more about the topic of the comments left behind by customers on their websites and so much more.

It is best to outsource text annotation services. There are people from different parts of the world who are knowledgeable about the requirements of text annotation. The fees will not be as expensive plus there will be no issues with the quality of the services offered.

Conclusion on Text Classification Outsourcing

Text classification is needed by different companies to gain an edge over the competition. The text data can now be improved and used to help businesses provide what their customers need. You can gather insights about what people are searching for and make decisions to keep them happy and satisfied. You can retain more customers and gain new ones based on the recommendations of people who are loyal to you and your company. All these and more will only be possible through text classification outsourcing. This is something that you should consider now.

Author: Dyka Smith

Dyka Smith is a content marketing professional at Inosocial, an inbound marketing and sales platform that helps companies attract visitors, convert leads, and close customers. Previously, Dyka worked as a marketing manager for a tech software startup. She graduated with honors from Columbia University with a dual degree in Business Administration and Creative Writing.

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