The pooling layer has achieved good results in reducing the feature dimension and
parameters of convolution neural network (CNN), but it will cause different degrees of …

Question answering systems are capable of responding to user inquiries using natural
language. These systems analyze questions utilizing natural language processing methods …

Nowadays digitization of documents is going day by day in every single organization for
storage or worldwide approach purposes. With text data, somehow the demand on running …

Movie reviews play a major role not just because they are important or interesting it's
because they influence people's mindsets. People chose movies based on these ratings or …

Older search engines and question answering machines could only return results from
similarly themed websites. Modern question answering machines and systems may provide …

In NLP world, there is a need to convert the text data into numerical form in a smart way of
text embedding with the machine learning architecture. In this research, the comparative text …

The natural language query becomes an extension of the existing World Wide Web. Also
searching the web become so difficult due to the huge increase of the unstructured data, and …

Sentiment analysis is used to determine sentiments in text. Light Gradient Boosting Machine
is used for efficiency and scalability but to understand the deep context of text, Long Short …

The development of technology in recent years, a surge in the marketing content and the
inexpensive choice of sending text messages for promotional and other advertising …

To understand natural language, automatic systems must have the ability and possibility to
know what is inferred, and if so, how it is inferred, and from what in a text. The linguistically …