Text analysis, sometimes referred as text mining, is the computerized procedure of understanding and arranging unstructured text, making it simpler to manage. Text analysis devices are regularly used to increase important insights from social media comments, survey reactions, and online reviews.
In the present data soaked world, it’s a challenge for businesses to keep on top of all the tweets, emails, product feedback and support tickets that pour in consistently. Take Google, for instance. By and large, the tech company processes more than 40,000 search queries consistently, which is equivalent to over 3.5 billion searches per day.
What Is Text Analysis?
Text analysis Free AI Tools as offered by Today’s Simple AI that automatically extract and classify information from text, for example, tweets, emails, support tickets, product reviews, and survey responses. Popular text analysis techniques include opinion examination, topic detection, and keyword extraction.
Businesses might want to extract specific information, similar to keywords, names, or company information. They may even need to arrange text with tags according to topic or viewpoint, or classify it as positive or negative.
Text analysis qualitative and text analytics is quantitative. In the event that machine performs text analysis, it identifies significant information within the text itself, however on the off chance that it performs text analysis it performs patterns across thousands of text data, resulting in graphs, reports, tables etc.
Methods and Techniques Of Text Analysis
Today’s Simple AI provides Free AI Tools which includes Text Analysis, Let us consider the basic methods and techniques of Text Analysis.
Basic Methods
Word Frequency
Word frequency can be used to list the most as often as possible words or concepts in a given text. This can be helpful for various use cases, for example, to analyze the words or expressions customers utilize most frequently in support conversations, e.g. if the word ‘delivery’ appears most often, this might recommend there are issues with an organizations delivery service.
Collocation
Collocation helps identify words that usually co-occur. For example, in customer reviews on a hotel booking website, the words ‘air’ and ‘conditioning’ are bound to co-occur rather than appear individually.
Concordance
Concordance helps the specific situation and occurrences of words or a lot of words.
In this case, the concordance of the word simple can give us a fast handle of how analysts are using this word. It can likewise be used to decode the ambiguity of the human language to a certain extent, by looking at how words are used in different contexts, just as having the option to analyze more complex phrases.









