A Combined Method for Usage of NLP Libraries Towards Analyzing Software Documents

Cheng, Xinyun; Kong, Xianglong; Liao, Longhui; Li, Bixin

doi:10.1007/978-3-030-49435-3_32

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…Given these limitations at hand, we can do more research on how we may use more performant NLP libraries and algorithms to achieve more accurate results of summarization in a more timely manner [11]. We can also use users' feedback and suggestions on how we may further improve our UI appearance as the guidelines of our future designs.…”

Section: Discussionmentioning

confidence: 99%

A NLP-learning Powered Customizable Approach Towards Auto-blocking Distracting Websites

Zhang¹,

Sun²

2023

Machine Learning and Soft Computing

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Over the past few decades, the problem of distraction and its accompanying side effects has taken its root deeply in all parts of our daily life and extended its ever-increasing influences among young generations [2]. In addition to its alarming prevalence, another characteristic of distraction that raises most concerns is how easily we can get distracted from our tasks at hand while using the electronic devices as a means of solving problems [3]. This paper attempts to address this society-wide problem thoroughly and universally through a technical approach of detecting, analyzing, and blocking the websites intelligently. Our design highlights the applications of machine learning and natural language processing, and is implemented purely in Python, Javascript, and several other web development languages. After retrieving the web content from the target websites through the web scraping process, summarizing the data to a number of short paragraphs via the use of NLP, we were able to perform data analysis on the result and finally block the websites accordingly [4]. With the help of this extension, students and those who wish to improve their concentration in work will be able to put more focus on the tasks at hand and thus boost their work efficiency under any working conditions.

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Section: Discussionmentioning

confidence: 99%

A NLP-learning Powered Customizable Approach Towards Auto-blocking Distracting Websites

Zhang¹,

Sun²

2023

Machine Learning and Soft Computing

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“…Ultimately, the named entity recognition technique (NER) allows for identifying tokens and assigning their categories, which can be proper names of people, places, organizations, currency, dates, and times. We used the Stanford Core NLP library [25] to do NLP processing such as text tokenization, PostTagging and NER.…”

Section: Data Pre-processing Of Job Offersmentioning

confidence: 99%

Building a recommendation system based on the job offers extracted from the web and the skills of job seekers

Mgarbi,

Chkouri,

Tahiri

2023

IJECE

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Recruitment, or job search, is increasingly used throughout the world by a large population of users through various channels, such as websites, platforms, and professional networks. Given the large volume of information related to job descriptions and user profiles, it is complicated to appropriately match a user's profile with a job description, and vice versa. The job search approach has drawbacks since the job seeker needs to search a job offers in each recruitment platform, manage their accounts, and apply for the relevant job vacancies, which wastes considerable time and effort. The contribution of this research work is the construction of a recommendation system based on the job offers extracted from the web and on the e-portfolios of job seekers. After the extraction of the data, natural language processing is applied to structured data and is ready for filtering and analysis. The proposed system is a content-based system, it measures the degree of correspondence between the attributes of the e-portfolio with those of each job offer of the same list of competence specialties using the Euclidean distance, the result is classified with a decreasing way to display the most relevant to the least relevant job offers.

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“…However, the utilization rate of NLP has gradually increased in recent years. Prakash et al summarized NLP and modern NLP, predicted the development direction of NLP, and briefly introduced its possible impact on the medical field [13]; although Cheng et al proposed a combination method of selecting the NLP library to obtain more effective results [15], NLP still has some limitations. The selection of the NLP library has a great impact on the results' effectiveness.…”

Section: Data Mining Technologymentioning

confidence: 99%

“…Through analysis of the data over the past three years, they put forward some suggestions on attracting users in the COVID-19 crisis. At present, there are many methods that have been proposed for "network data mining", such as latent Dirichlet allocation (LDA) model [4,5], long short-term memory (LSTM) [6,7], Biterm method for short text distance measurement (BDM) [8,9], targeted aspects oriented topic modeling (TATM) [10], swarm intelligence (SI) algorithms [11], natural language processing (NLP) [12][13][14][15], etc., but they all have their advantages and disadvantages [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites

Xiong

Yan

Yao³

et al. 2022

Information

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In order to facilitate designers to explore the market demand trend of laptops and to establish a better “network users-market feedback mechanism”, we propose a design and research method of a short text mining tool based on the K-means clustering algorithm and Kano mode. An improved short text clustering algorithm is used to extract the design elements of laptops. Based on the traditional questionnaire, we extract the user’s attention factors, score the emotional tendency, and analyze the user’s needs based on the Kano model. Then, we select 10 laptops, process them by the improved algorithm, cluster the evaluation words and quantify the emotional orientation matching. Based on the obtained data, we design a visual interaction logic and usability test. These prove that the proposed method is feasible and effective.

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A Combined Method for Usage of NLP Libraries Towards Analyzing Software Documents

Cited by 8 publications

References 26 publications

A NLP-learning Powered Customizable Approach Towards Auto-blocking Distracting Websites

A NLP-learning Powered Customizable Approach Towards Auto-blocking Distracting Websites

Building a recommendation system based on the job offers extracted from the web and the skills of job seekers

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites

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