7 Basic steps of Bytesview’s Text Analytics (1)

7 Basic steps of
Bytesview’s Text
Analytics

Let’s go down and dirty with how
bytesview’s text analytics work

Bytesview’s text analytics engine break down sentences and
phrases before it can actually analyze anything. Tearing apart
unstructured text documents into their component parts is the first
step in pretty much every NLP feature, including named entity
recognition, theme extraction, and sentiment analysis.

1.Language identification

The first step in text analytics is identifying
what language the text is written in.
Spanish? English? Arabic? Each language has
its own idiosyncrasies, so it’s important to
know what we’re dealing with.
Bytesview supports 30+ languages (first and
final shameless plug) spanning dozens of
alphabets, abjads and logographies.

2.Tokenisation

Now that we know what
language the text is in, our
tool break it up into pieces.
Tokens are the individual
units of meaning you’re
operating on. This can be
words, phonemes, or even full
sentences. Tokenization is the
process of breaking text
documents apart into those
pieces.

3.Sentence Breaking

Certain communication
channels are particularly
complicated to break
down. We have ways of
sentence breaking for
social media, but we’ll
leave that aside for now.

4.Part of Speech Tagging

Part of Speech tagging (or
PoS tagging) is the process
of determining the part of
speech of every token in a
document, and then
tagging it as such.

5.Chunking

Chunking refers to a range of
sentence-breaking systems
that splinter a sentence into
its component phrases (noun
phrases, verb phrases, and so
on).

6.Syntax Parsing

The syntax parsing
sub-function is a way to
determine the structure of a
sentence. In truth, syntax
parsing is really just fancy
talk for sentence
diagramming. But it’s a
critical preparatory step in
sentiment analysis and other
natural language processing
features.

7.Sentence Chaining

The final step in preparing
unstructured text for deeper
analysis is sentence
chaining, sometimes known
as sentence relation.
Bytesview utilizes a
technique to connect related
sentences. It links individual
sentences by each
sentence’s strength of
association to an overall
topic.

Hungry for more information about text analytics

Visit: https://www.bytesview.com/

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