Advancing natural language processing for Persian movie review analysis: roadmap and opportunities
As Persian-language movie platforms gain popularity, analyzing user-generated content becomes increasingly important. Advanced Natural Language Processing (NLP) tools, such as TextBlob, NLTK, VADER, Num2faword, PersianTools, Parsivar, Hazm, and BERT, provide robust methods for sentiment analysis, te...
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| Format: | Article |
| Language: | English |
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REA Press
2025-03-01
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| Series: | Computational Algorithms and Numerical Dimensions |
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| Online Access: | https://www.journal-cand.com/article_211177_8343f26ece603c650e34aa91427e9cfa.pdf |
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| author | Sedigheh Kaveh Ramin Safa |
| author_facet | Sedigheh Kaveh Ramin Safa |
| author_sort | Sedigheh Kaveh |
| collection | DOAJ |
| description | As Persian-language movie platforms gain popularity, analyzing user-generated content becomes increasingly important. Advanced Natural Language Processing (NLP) tools, such as TextBlob, NLTK, VADER, Num2faword, PersianTools, Parsivar, Hazm, and BERT, provide robust methods for sentiment analysis, text preprocessing, and aspect-based analysis tailored to Persian movie reviews. These tools address unique challenges, including diverse writing styles, non-standardized sentiment lexicons, and linguistic complexities of Persian. This paper presents a roadmap for developing NLP-based solutions, highlighting these tools’ applications with example outputs. The integration of these tools into sentiment analysis pipelines offers significant opportunities for improved user experiences, personalized recommendations, and actionable insights for platform owners. By addressing challenges and capitalizing on the potential of advanced NLP techniques, this research aims to foster the growth of Persian-language movie platforms and contribute to their global competitiveness. |
| format | Article |
| id | doaj-art-326db9e611f04a5cb714684139dc37e4 |
| institution | Kabale University |
| issn | 2980-7646 2980-9320 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | REA Press |
| record_format | Article |
| series | Computational Algorithms and Numerical Dimensions |
| spelling | doaj-art-326db9e611f04a5cb714684139dc37e42025-01-30T11:24:22ZengREA PressComputational Algorithms and Numerical Dimensions2980-76462980-93202025-03-0141344710.22105/cand.2024.493386.1168211177Advancing natural language processing for Persian movie review analysis: roadmap and opportunitiesSedigheh Kaveh0Ramin Safa1Department of Computer Engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.Department of Computer Engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.As Persian-language movie platforms gain popularity, analyzing user-generated content becomes increasingly important. Advanced Natural Language Processing (NLP) tools, such as TextBlob, NLTK, VADER, Num2faword, PersianTools, Parsivar, Hazm, and BERT, provide robust methods for sentiment analysis, text preprocessing, and aspect-based analysis tailored to Persian movie reviews. These tools address unique challenges, including diverse writing styles, non-standardized sentiment lexicons, and linguistic complexities of Persian. This paper presents a roadmap for developing NLP-based solutions, highlighting these tools’ applications with example outputs. The integration of these tools into sentiment analysis pipelines offers significant opportunities for improved user experiences, personalized recommendations, and actionable insights for platform owners. By addressing challenges and capitalizing on the potential of advanced NLP techniques, this research aims to foster the growth of Persian-language movie platforms and contribute to their global competitiveness.https://www.journal-cand.com/article_211177_8343f26ece603c650e34aa91427e9cfa.pdfsentiment analysisnatural language processingpersian language processingmovie review analysisrecommender systems |
| spellingShingle | Sedigheh Kaveh Ramin Safa Advancing natural language processing for Persian movie review analysis: roadmap and opportunities Computational Algorithms and Numerical Dimensions sentiment analysis natural language processing persian language processing movie review analysis recommender systems |
| title | Advancing natural language processing for Persian movie review analysis: roadmap and opportunities |
| title_full | Advancing natural language processing for Persian movie review analysis: roadmap and opportunities |
| title_fullStr | Advancing natural language processing for Persian movie review analysis: roadmap and opportunities |
| title_full_unstemmed | Advancing natural language processing for Persian movie review analysis: roadmap and opportunities |
| title_short | Advancing natural language processing for Persian movie review analysis: roadmap and opportunities |
| title_sort | advancing natural language processing for persian movie review analysis roadmap and opportunities |
| topic | sentiment analysis natural language processing persian language processing movie review analysis recommender systems |
| url | https://www.journal-cand.com/article_211177_8343f26ece603c650e34aa91427e9cfa.pdf |
| work_keys_str_mv | AT sedighehkaveh advancingnaturallanguageprocessingforpersianmoviereviewanalysisroadmapandopportunities AT raminsafa advancingnaturallanguageprocessingforpersianmoviereviewanalysisroadmapandopportunities |