{"id":2819,"date":"2025-01-15T08:00:00","date_gmt":"2025-01-15T08:00:00","guid":{"rendered":"https:\/\/atras-univ-saida.dz\/en\/?p=2819"},"modified":"2025-02-11T18:37:41","modified_gmt":"2025-02-11T18:37:41","slug":"arima-blob-sentiment-polarity-emotional-landscape-instagram-natural-language-processing-sentiment-analysis-textblob","status":"publish","type":"post","link":"https:\/\/atras-univ-saida.dz\/en\/?p=2819","title":{"rendered":"Article 18-Issue 01 vol 6 January 2025"},"content":{"rendered":"\n

Unveiling Emotional Landscape: A Sentiment Expedition into Instagram Play Store and App Store Reviews using TextBlob<\/strong><\/strong><\/strong><\/h1><\/div><\/div>\n\n\n\n

Md Emon Sharkar
Daffodil International University, BANGLADESH
emon15-3141@diu.edu.bd<\/a>
https:\/\/orcid.org\/0000-0002-5103-2796<\/a><\/strong><\/p><\/div><\/div>\n\n\n\n

Abstract<\/strong><\/p><\/div><\/div>\n\n\n\n

Using natural language processing techniques applied to user evaluations from the Google Play Store and Apple App Store, this article analyzes and predicts user sentiment toward Instagram. Understanding user sentiment trends, visualizing changes in user satisfaction, and forecasting future sentiment patterns are the main goals, providing app developers with insightful information. Our approach is divided into three phases: future sentiment predictions, periodic trend visualization, and sentiment extraction. We utilize TextBlob, a Python-based natural language processing package that can handle important tasks including sentiment analysis, tokenization, lemmatization, and part-of-speech tagging, for sentiment extraction. We provide an immediate overview of user viewpoints by using TextBlob to record and classify user input into positive, negative, and neutral attitudes. To see trends and spot notable shifts in user satisfaction, we then create a time-phase model that shows sentiment differences over a monthly period. We apply an Auto-Regressive Integrated Moving Average model from the statsmodel package to forecast sentiment trends over the next two months by analyzing historical sentiment data. According to experimental results, our model predicts user attitudes toward the Instagram program with high reliability, achieving an accuracy of 93.27% when comparing predicted sentiment with actual reviews. By providing a thorough method for sentiment analysis and prediction in social media app evaluations, this work implies that these models can be proactive tools for raising user satisfaction while improving app features in response to expected user input..<\/p><\/div><\/div>\n\n\n\n

Keywords:<\/strong> ARIMA, blob sentiment polarity, emotional landscape, Instagram, Natural Language Processing, Sentiment Analysis, TextBlob<\/p><\/div><\/div>\n\n\n

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DOI: https:\/\/doi.org\/10.70091\/Atras\/vol06no01.18
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How to Cite this Paper :<\/strong><\/strong> <\/p><\/div><\/div>\n\n\n\n

Emon, S. M. (2025). Unveiling Emotional Landscape: A Sentiment Expedition into Instagram Play Store and App Store Reviews Using TextBlob. Atras Journal<\/em>,\u00a0 6<\/em> (1), 260-274<\/p><\/div><\/div>\n\n\n\n

References<\/strong>:<\/p><\/div><\/div>\n\n\n\n

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Copyright for all articles published in ATRAS <\/strong>belongs to the author. The authors also grant permission to the publisher to publish, reproduce, distribute, and transmit the articles. ATRAS <\/strong>publishes accepted papers under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. Authors submitting papers for publication in ATRAS <\/strong>agree to apply the CC BY-NC 4.0 license to their work. For non-commercial purposes, anyone may copy, redistribute material, remix, transform, and construct material in any media or format, provided that the terms of the license are observed and the original source is properly cited.<\/p><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

ARIMA, blob sentiment polarity, emotional landscape, Instagram, Natural Language Processing, Sentiment Analysis, TextBlob<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[599],"tags":[672,673,674,675,424,676,677],"class_list":["post-2819","post","type-post","status-publish","format-standard","hentry","category-vol-06-n01-2025","tag-arima","tag-blob-sentiment-polarity","tag-emotional-landscape","tag-instagram","tag-natural-language-processing","tag-sentiment-analysis","tag-textblob"],"gutentor_comment":0,"yoast_head":"\nArticle 18-Issue 01 vol 6 January 2025 - ATRAS journal<\/title>\n<meta name=\"description\" content=\"ARIMA, blob sentiment polarity, emotional landscape, Instagram, Natural Language Processing, Sentiment Analysis, TextBlob Unveiling Emotional Landscape: A Sentiment Expedition into Instagram Play Store and App Store Reviews using TextBlob\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atras-univ-saida.dz\/en\/?p=2819\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Unveiling Emotional Landscape: A Sentiment Expedition into Instagram Play Store and App Store Reviews using TextBlob\" \/>\n<meta property=\"og:description\" content=\"ARIMA, blob sentiment polarity, emotional landscape, Instagram, Natural Language Processing, Sentiment Analysis, TextBlob\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atras-univ-saida.dz\/en\/?p=2819\" \/>\n<meta property=\"og:site_name\" content=\"ATRAS journal\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/p\/ATRAS-journal-100083161450894\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-01-15T08:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-02-11T18:37:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/06\/image-2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"278\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"atras\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Unveiling Emotional Landscape: A Sentiment Expedition into Instagram Play Store and App Store Reviews using TextBlob\" \/>\n<meta name=\"twitter:description\" content=\"ARIMA, blob sentiment polarity, emotional landscape, Instagram, Natural Language Processing, Sentiment Analysis, TextBlob\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"atras\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/?p=2819#article\",\"isPartOf\":{\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/?p=2819\"},\"author\":{\"name\":\"atras\",\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/person\/ad5e6fcff0b37638480b00e92868cd64\"},\"headline\":\"Article 18-Issue 01 vol 6 January 2025\",\"datePublished\":\"2025-01-15T08:00:00+00:00\",\"dateModified\":\"2025-02-11T18:37:41+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/?p=2819\"},\"wordCount\":1180,\"publisher\":{\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/?p=2819#primaryimage\"},\"thumbnailUrl\":\"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/06\/image-2.png\",\"keywords\":[\"ARIMA\",\"blob sentiment polarity\",\"emotional landscape\",\"Instagram\",\"natural language processing\",\"Sentiment Analysis\",\"TextBlob\"],\"articleSection\":[\"Vol 06 N01 2025\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atras-univ-saida.dz\/en\/?p=2819\",\"url\":\"https:\/\/atras-univ-saida.dz\/en\/?p=2819\",\"name\":\"Article 18-Issue 01 vol 6 January 2025 - 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