Text Analytics is a balanced combination of process and technology, a device through which texts are sourced from different points for varying purposes. Also referred to as text mining, it precisely examines the texts coded in natural language through transposition of phrasal structures, individual words and syntaxes. Texts are collected from unstructured data sources and transformed into their numerical values in order to develop a connection with structured data. The databases, after assemblage are then scrutinized for analysis through another relevant process called data mining.
Loginworks Softwares irons out the complexities of the process through exceptional skills of its technicians coupled with the top-notch technology it integrates in its work system to deliver high quality results.
Both text analytics and text mining are borderline names for a spectrum of techniques shaped from parent technologies for the same end of processing and examination of raw unstructured and semi-structured data. However, talking about what positions these two techniques on either side of a thin line is their common prescript of converting texts into numeric. Once the pass-over is accomplished, the entire data structure can be subjected to algorithms, all at one.
It goes with common perception that techniques and technologies go hand in hand, and that said, it is implied that an insightful understanding of the text translations and application of analytical algorithm should be had to inmix both.
Till date, seven areas have been officially identified as practicable for text analytics. Each area is singularly unique, but when viewed broadly have a correlation with one another. To make this a unit clearer, one project of text mining requires techniques to be streamed from multiple of these seven areas of precise accomplishment. The practicable areas have been inductively spotted and named here in:
Loginworks explores all these areas with the plethora of projects it receives, and with that, it has hands-on experience in all these fields.
There is a distinct connection between big data and text analysis. They are the what and why of data that is created and processed every day. Text analytics refer to pre-processing of data. It is the method of finding additional structure in the visibly and technically unstructured texts. Text analysis serves to predict behavioral patterns, thus adding another dimension to individual documents. The process involves finding out of new variables that are associated with social media and predictive analysis. On a greater dimension, it analyzes 90% of text sourced from the Internet, and 50% social media analysis. Making it simple and digestible, text analysis is a way of enriching the semantic quotient of data by adding new inputs into it. Loginworks understands the importance of keeping both the subjects overlapping in the context of text analysis to grind out maximum and undisputable results.
The broader effort of text-analysis can be split up into multiple sub-tasks, much of which has been briefly explained in the following bullets.
Loginworks is one of those leading concerns in this arena with a rare profile to offer complete array of services through its ever-active team of technologists and most superior technologies used to turn out the projects with maximum infallibility.