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The goal of this paper is to classify the polarity of the tweets into positive and negative classes using dynamic sentiment lexicons based on frequencies of words in positive and negative classes. We extract five meta-level features incorporating the generated sentiment lexicons and classify the text based on them. We also incorporate some previously known lexicon-based and corpus-based features. The proposed method is assessed on six datasets, and outperforms previous papers on accuracy on four datasets, and on f-measure on three datasets. This method generates sentiment lexicons dynamically. The changes of meanings of words can be captured by the generated lexicons. Our research produces very promising results in sentiment analysis in terms of accuracy and f-measure. The accuracy of our method on four datasets and the f-measure of our method on three datasets are higher than 85%.<\/jats:p>","DOI":"10.3233\/jifs-16562","type":"journal-article","created":{"date-parts":[[2017,9,22]],"date-time":"2017-09-22T11:01:11Z","timestamp":1506078071000},"page":"2223-2234","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Accurate frequency-based lexicon generation for opinion mining"],"prefix":"10.1177","volume":"33","author":[{"given":"Hamidreza","family":"Keshavarz","sequence":"first","affiliation":[{"name":"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Saniee","family":"Abadeh","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,10]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02145-9"},{"key":"e_1_3_3_3_2","first-page":"1320","article-title":"Twitter as a corpus for sentiment analysis and opinion mining","volume":"10","author":"Pak A.","year":"2010","unstructured":"PakA. and ParoubekP., Twitter as a corpus for sentiment analysis and opinion mining, LREc10 (2010), 1320\u20131326.","journal-title":"LREc"},{"key":"e_1_3_3_4_2","first-page":"30","volume-title":"in Proceedings of the Workshop on Languages in Social Media, LSM\u201911, Association for Computational Linguistics, Stroudsburg","author":"Agarwal A.","year":"2011","unstructured":"AgarwalA., XieB., VovshaI., RambowO. and PassonneauR., Sentiment analysis of twitter data, in Proceedings of the Workshop on Languages in Social Media, LSM\u201911, Association for Computational Linguistics, Stroudsburg, PA, USA, 2011, pp. 30\u201338."},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063726"},{"key":"e_1_3_3_6_2","first-page":"15","article-title":"Challenges in developing opinion mining tools for social media","author":"Maynard D.","year":"2012","unstructured":"MaynardD., BontchevaK. and RoutD., Challenges in developing opinion mining tools for social media, Proceedings of the@ NLP Can u Tag# Usergeneratedcontent, 2012, pp. 15\u201322.","journal-title":"Proceedings of the@ NLP Can u Tag# Usergeneratedcontent"},{"issue":"3","key":"e_1_3_3_7_2","first-page":"41","article-title":"A survey on assessment and ranking methodologies for user-generated content on the web","volume":"48","author":"Momeni E.","year":"2015","unstructured":"MomeniE., CardieC. and DiakopoulosN., A survey on assessment and ranking methodologies for user-generated content on the web, ACM Computing Surveys (CSUR)48(3) (2015), 41.","journal-title":"ACM Computing Surveys (CSUR)"},{"key":"e_1_3_3_8_2","first-page":"538","article-title":"Twitter sentiment analysis: The good the bad and the omg!","volume":"11","author":"Kouloumpis E.","year":"2011","unstructured":"KouloumpisE., WilsonT. and MooreJ., Twitter sentiment analysis: The good the bad and the omg!, Icwsm11 (2011), 538\u2013541.","journal-title":"Icwsm"},{"key":"e_1_3_3_9_2","first-page":"417","volume-title":"Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, ACL 02, Association for Computational Linguistics, Stroudsburg","author":"Turney P.D.","year":"2002","unstructured":"TurneyP.D., Thumbs up or thumbs down? 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