Since the amount of data generated is increasing day by day, it has become a challenging task to analyze patterns and extract business insights. Traditional tools and procedures are not capable enough to handle such data, as they require ample time and efforts to extract meaningful information. Hence, a technique called text mining is being used nowadays. It is the process through which interesting and significant patterns are extracted to get some knowledge from different sources. Techniques like classification, clustering etc., are used to extract information.

In this process, the raw text is sorted in a semi-structured and unstructured format. This technique is used in many industries, web applications and several other fields. Various application areas like filter emails, product analysis, fraud detection etc., are using text mining to predict and analyze different patterns. If you want detailed knowledge, then you should get into a data science training institute.

Let us now look at some different applications of text mining.

• Social Media

There are many different packages available, which help analyze social media applications to monitor plain text from blogs, emails, etc. Text mining makes it easy to analyze the number of likes, posts, and followers on social media. It helps observe the behavior and reaction of different people belonging to other communities that have various aspects of the same post. Completing data science training may help you to excel in these skills.

• Academic and Research

Various text mining tools and techniques are being used by the educational sector to analyze the trends and student’s interest in a specific field. In research fields, text mining helps in finding and classifying different research papers and important material of various fields in one place. The performance of students and teachers can also be accessed and monitored.

• Digital Libraries

There are many text mining tools that are being used to identify the patterns and trends from journals. These patterns and information are very crucial in research and development fields. Libraries have always been a great source of information for researchers, and now, digital libraries are trying hard to the significance of their collection. There is an international library, Green-stone, that supports various languages and multilingual interfaces. This helps in providing a certain method to extract different documents handling numerous formats, i.e., Ms word, email, pdf, and HTML.  Document extraction in the form of audio and image format is also supported.

Conclusion

Examining and extracting valuable information from the enormous amount of text-based data has become very important. Text mining techniques are effectively and efficiently extracting meaningful insights from a ton of unstructured data. Various patterns and algorithms are applied for predictive analysis and to understand future trends.