Entity extraction tools

Text analytics in social media is the process of identify and analyzing quality content form text. Text analytics can support and strengthen border security in three major ways:

  • to identify dangers near borders and at screening time
  • to identify potential dangers that need follow-up
  • to forecast future issues at borders

There are four steps in the text mining process:

  • Information retrieval

    • Natural language processing

  • Information extraction
  • Data mining

This process plays a major role in today?s marketing strategy used by small businesses and major corporations all over. With so much content constantly pulling the servers around the world, it?s no surprise that collecting and analyzing all of this content is quite important to marketing and customer engagement. Due to the large amount of content a text mining software is used to categorize, cluster, extract, and document the text content for analytical purposes. This is the type of social media data analysis that provides marketers with a huge list of keywords they can you use to drive more traffic into their site.

Building a keywords list for SEO purposes is a major reason why text analytics in social media is extremely important to marketing. Keyword strategy is one of the most difficult activities marketers deal with due to the excessive amount of content available. Having to create a target keyword list filled with relevant keywords to rank at the top, when search results are constantly shifting, can be a daunting task for the most experienced marketer. It’s a big guessing game as to which keyword is still relevant and which keyword has fallen off the list. Using an aspect based sentiment analysis and text analytics in social media allows marketers to leverage the related keywords and generate words or phrases that are similar and related to your target keywords.

Content management and content creation is another reason why text analytics in social media is vital or marketing. Marketers with the hopes of targeting their target audience with ease reacquire quality content that their audience can not only relate to but also help them find whatever product or service they are looking for. Good content generation calls for understanding your target audience?s search preferences, staying abreast of recent and popular trends, evaluating the content that works and what doesn?t in order to put yourself in a position to lead in the rankings. Being able to leverage your text analytics allows you to create content that are more effective in driving traffic wherever you need it.

Another major significance to text analytics in social media is that it gives marketers the opportunity to locate and assess the sentiment of their brand, products, services, and topics related to the company on any social media platform. This will enable them to create much better campaigns and optimize existing ads. This social listening process is meant to gather as much information as possible and uses a sort of entity analytics that helps to compare the relationship between your brand and other competitors.

Text analytics makes this entire process much easier.The current value of the text analytic market is at an estimated $3 billion and it is foretasted to reach almost $6 billion by the year 2020. Mine large volumes of content for insight on what’s being said among your target audiences. Ultimately, text mining can help businesses in three major ways. It can provide more accurate insights across a broader range of documents and sources; it can provide accurate risk, compliance, and threat detection; it can improve customer engagement by using natural language processing to generate early insights into what customers are thinking.