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...

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...

Language technology is becoming increasingly important across a variety of application domains which have become common place in large, well-resourced languages. However, there danger that small, under-resourced languages are being pushed to the technological margins. Under-resourced face significant challenges delivering underlying language resources necessary support such applications. This p...

Natural Language Processing (NLP) is the most important field of computer science which deals with human language and computers. In India, most of the people live in the rural areas, so they have the problem of understanding English language. To address this issue, we discussed here, about various factors which affect Hindi natural language processing. In this paper, a framework for information...