To make understandable the sentiments of the people by the AI model, a
huge amount of training data sets required for machine learning. And language
annotation is the right process to annotate the key texts in a document and
make it comprehensible to machines.
In news headlines there is some sentiment hidden in the language and
making such language recognizable through various modes of annotations. People
talking about anything with good or bad intention, all can be make
understandable to AI models through annotation services.
What is Sentiment Analysis?
Customer sentiment analysis is
basically, analyzing the feedbacks, reviews and comments of the customers on
social media, your website, your customer support center or any other place
meant for taking customer’s feedback.
Once such data is gathered and analyzed, you get to know the actual
sentiments and feelings of your customers. This feedback and reviews contain
useful business information through multiple channels help your business
improve the service. News headlines are one of the best source of information
to estimate the sentimentalities of the people talking about anything.
Data Annotation for Sentiment Analysis
To make the language data like texts, audio or speech in the videos
understandable through AI based sentiment analysis models. NLP annotation,
entity annotation and text annotation is the popular language data annotation
to make such things understandable to AI models.
In news headlines people taking about certain things need to be
understand. Positive, negative or neutral sentiments of the people, helps to
find out their state of mind towards specific topic, product, services, company
or brand popular among the audience.
New data annotated to analyze the sentiments of the people helps the AI
models learn from such data and next time analyze the sentiments of different
people. Actually, in data annotation certain notes and metadata is added to the
important words or phrases, so that while feeding into the machine learning
based language algorithms, can understand the situation and give the accurate
results in real-life.
How and from where to get Data sets Annotated for Sentiment Analysis?
If you are looking for annotated data sets for sentiment analysis, then Cogito
is the best online platform for data annotation. It is providing the language
based annotation service with NLP annotation,
text annotation, and entity extraction annotation for language based machine
learning training.
Cogito also provides the sentiment analysis
services to understand the, feeling, views and opinions of the people from
different angle. It can also provide the high-quality data sets for sentiment
analysis in news headlines or media articles. It can annotate any kind of data
and also analyze the sentiments of different types of people to make sure
machine learning algorithms can learn precisely.
0 Comments