This study uses natural language processing in order to increase knowledge concerning customer satisfaction. A total of 12,000 returns were analyzed, 6,800 which contained freely expressed qualitative feedback. Eight themes emerge from the analysis and bring light factors influencing It is also noted that satisfaction not vertical or horizontal but can involve a more less important combination ...

The availability of information today accessible in digital form has accelerated. Retrieving useful document from such large pool gets difficult. So, to summarize these text documents is very crucial. Text summarization a process minimizing the original source get essential that document. It eliminates redundant, less important content and provides you with vital shorter version usually half le...

Abstract In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt sequence labeling paradigm to solve a bundle such as POS-tagging, named entity recognition (NER), and chunking, classification like sentiment analysis. With rapid progress pre-trained models, recent years have witnessed ri...

<span lang="EN-US">An automated essay evaluation system is a machine-based approach leveraging long short-term memory (LSTM) model to award grades essays written in English language. <a name="_Hlk108785338"></a>natural language processing (NLP) used extract feature representations from the essays. The LSTM network learns extracted features and generates parameters for testing ...

The recent developments in Multimedia Internet of Things (MIoT) devices, empowered with Natural Language Processing (NLP) model, seem to be a promising future smart devices. It plays an important role industrial models such as speech understanding, emotion detection, home automation, and so on. If image needs captioned, then the objects that image, its actions connections, any silent feature re...

In this paper, we develop compositional vector-based semantics of positive transitive sentences using quantum natural language processing (Q-NLP) to compare the parametrized circuits two synonymous simple in English and Persian. We propose a protocol based on long short-term memory (Q-LSTM) for Q-NLP perform various tasks general but specifically translating sentence from Then, generalize our m...

This paper aims to describe the software requirements modelling used by SAREL (Assistance System for Writing Software Speci-cation in Natural Language). The initial purpose of SAREL 1 was to assist engineers in the creation of quality software speciication written in natural language. The functionality of the system is twofold: vertical processing and horizontal processing. In vertical processi...