A Review on Application of Deep Learning in Natural Language Processing

Kshirsagar, Pravin R.; Reddy, Dhoma Harshavardhan; Dhingra, Mallika; Dhabliya, Dharmesh; Gupta, Ankur

doi:10.1109/ic3i56241.2022.10073309

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…In addition to this, it provides APIs that may be used to combine sophisticated NLP libraries that are commonly used in the industry. [24] I. Core Milvus.…”

Section: H Nltkmentioning

confidence: 99%

“…These problems might include the processing of data in a variety of forms, including video, photos, text, audio, source code, and PDFs. [24] E. Gensim Gensim is a Python package that was developed for activities such as the modeling of topics, the indexing of documents, and the retrieval of similarities from large text collections. Professionals in the domains of natural language processing (NLP) and information retrieval (IR) are the target audience for this publication.…”

Section: Introductionmentioning

confidence: 99%

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The Comparative study of Python Libraries for Natural Language Processing (NLP)

Dr. Dhara Ashish Darji,

Dr. Sachinkumar Anandpal Goswami

2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

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Natural Language Processing (NLP) has seen significant advancements in recent years, driven largely by the availability of powerful Python libraries. This comparative study aims to analyze and compare the performance, language support, community support and ease of use of many popular Python libraries for NLP like NLTK (Natural Language Toolkit), spaCy, TextBlob, Flair, Jina, Gensim etc. The study evaluates these libraries across various NLP tasks such as tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and text summarization. Additionally, the paper discusses the strengths and weaknesses of each library, providing insights into their suitability for different NLP applications. Through detailed experimentation and analysis, this study aims to guide researchers and practitioners in selecting the most appropriate library for their NLP projects.

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“…In addition to this, it provides APIs that may be used to combine sophisticated NLP libraries that are commonly used in the industry. [24] I. Core Milvus.…”

Section: H Nltkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Comparative study of Python Libraries for Natural Language Processing (NLP)

Dr. Dhara Ashish Darji,

Dr. Sachinkumar Anandpal Goswami

2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

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“…Incorporating blockchain into the world of digital greetings has the potential to add new layers of value to the act of sending and receiving greetings. Whether through authenticity, personalization, security, or monetization, blockchain can enhance the overall experience of sharing greetings in the digital age [30][31][32][33][34]. However, it's essential to consider the environmental impact of blockchain technology, especially in the context of energy consumption and sustainability [35].…”

Section: Loyalty Programs: Blockchain-based Rewardsmentioning

confidence: 99%

Investigating Role of Blockchain in Making your Greetings Valuable

GUPTA,

Gupta

2023

URR

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Current study is mostly focused on the exploration of the role of blockchain technology in enhancing the value of greetings. To accomplish this goal, renowned blockchain-based greetings NFTs from Opensea and Young Parrot have been taken into account. The welcome non-fungible tokens (NFTs) are built upon the Matic and Core blockchain networks. In order to get insight into the key determinants that significantly impact the demand for blockchain-based NFTs used for greetings, a comprehensive survey was undertaken including all facets of this burgeoning phenomenon. Extensive research has been undertaken to enhance comprehension of the determinants that propel the demand for NFTs based on blockchain technology within the domain of greetings. The factors under consideration include the pricing, overall quantity, use case, and popularity of NFTs. A survey was conducted on Twitter, using a sample size of 525 individuals. Based on the findings of the conducted study, it can be deduced that the primary determinant of the value attributed to greetings is their level of popularity. Furthermore, it has been observed that the Love Emogie have a restricted availability. The limited availability of just 43 Love Emojie has contributed to the heightened demand for NFTs owing to their inherent scarcity. However, it is also noted that pricing and use case have a substantial influence.

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