Page 386 - AI Ver 3.0 Class 11
P. 386
Document Analysis
Another use of Natural Language Processing is document analysis. Data is
continuously being generated and needs to be properly kept, sorted, and
searched in various fields including businesses, institutions, and schools.
NLP has the potential to help with all of this. It saves us from the tiresome
and time-consuming chore of looking through numerous files for a single
person's information by not only searching a keyword but also categorising
it according to the guidelines. Not only that, it also helps users make well-
informed decisions on risk management and claims.
Automatic Summarisation
The scope of data processing has expanded with the growth of data.
Processing data by hand takes a lot of time and is prone to mistakes. NLP
offers a solution for this as well; it is able to extract the emotional meaning
concealed in data while also summarising its significance. The summary
procedure thus becomes more accurate and efficient.
Reboot
1. Identify the NLP stage:
a. This step involves studying and identifying a language’s word structure.
b. This involves mapping the syntactic structure and ensuring that the presented relationships
between entities, words, phrases, and sentences in the text are logical.
c. In this stage, grammar, word arrangement, identifying word relationships are examined to
determine if they make sense.
d. During this stage, understanding the meaning of words and the context in which they are used is
completed.
2. Fill in the blanks:
a. Generally, % of data is unstructured.
b. helps users make well-informed decisions on risk management and claims.
c. The ultimate goal of is to operate as an interface between people and the internet,
offering a range of services using basic speech recognition.
d. extracts the emotional meaning concealed in data along with its summarisation
keeping its significance.
384 Touchpad Artificial Intelligence (Ver. 3.0)-XI

