https://oldena.lpnu.ua/handle/ntb/52145| Title: | Using NLP Python Tools in Methods of Content Analysis |
| Authors: | Razno, Maria Khairova, Nina |
| Affiliation: | National Technical University "Kharkiv Polytechnic Institute" |
| Bibliographic description (Ukraine): | Razno M. Using NLP Python Tools in Methods of Content Analysis / Maria Razno, Nina Khairova // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 240–242. — (Intelligent Systems). |
| Bibliographic description (International): | Razno M. Using NLP Python Tools in Methods of Content Analysis / Maria Razno, Nina Khairova // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 240–242. — (Intelligent Systems). |
| Is part of: | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 |
| Issue Date: | 23-Apr-2020 |
| Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| Temporal Coverage: | 23-24 April 2020, Lviv, Ukraine |
| Keywords: | Content analysis Python Text classification Text processing NLP NLTK |
| Number of pages: | 3 |
| Page range: | 240-242 |
| Start page: | 240 |
| End page: | 242 |
| Abstract: | This article describes the relevance of the content analysis task applied on Twitter text data using various NLP methods, that can be implemented on Python programming language. It also includes the concept of different NLP methods and algorithms, its main varieties and the most popular Python packages and libraries for working with text data. The content analysis algorithms based on the text processing is introduced in this study. It shows how to use NLP methods in practice. |
| URI: | https://ena.lpnu.ua/handle/ntb/52145 |
| ISSN: | 2523-4013 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2020 |
| URL for reference material: | https://github.com/shaypal5/awesometwitter-data |
| References (Ukraine): | 1. Rubtsova, Y.: Constructing a corpus for sentiment classification training. SOFTWARE SYSTEMS 1(109), 72-78 (2015). 2. A list of Twitter datasets and related resources. https://github.com/shaypal5/awesometwitter-data. Last accessed 10 April 2020. 3. Krippendorff, K.: Content Analysis: An Introduction to Its Methodology, 110-120 (2018). |
| References (International): | 1. Rubtsova, Y., Constructing a corpus for sentiment classification training. SOFTWARE SYSTEMS 1(109), 72-78 (2015). 2. A list of Twitter datasets and related resources. https://github.com/shaypal5/awesometwitter-data. Last accessed 10 April 2020. 3. Krippendorff, K., Content Analysis: An Introduction to Its Methodology, 110-120 (2018). |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р. |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020v2_Razno_M-Using_NLP_Python_Tools_in_240-242.pdf | 516.8 kB | Adobe PDF | View/Open | |
| 2020v2_Razno_M-Using_NLP_Python_Tools_in_240-242__COVER.png | 297.58 kB | image/png | View/Open |
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