{"id":34969,"date":"2022-07-24T12:23:01","date_gmt":"2022-07-24T12:23:01","guid":{"rendered":"https:\/\/zeru.com\/blog\/?p=34969"},"modified":"2022-07-24T12:23:01","modified_gmt":"2022-07-24T12:23:01","slug":"how-does-python-analyze-twitter-data","status":"publish","type":"post","link":"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data","title":{"rendered":"How Does Python Analyze Twitter Data?"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_43 counter-flat ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\">Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a0344d2c590b\" class=\"cssicon\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><label for=\"ez-toc-cssicon-toggle-item-6a0344d2c590b\"  class=\"cssiconcheckbox\">1<\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a0344d2c590b\" ><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data\/#How_Does_Python_Analyze_Twitter_Data\" title=\"How Does Python Analyze Twitter Data?\">How Does Python Analyze Twitter Data?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data\/#Sentiment_analysis_is_a_process_of_computationally_determining_whether_a_piece_of_writing_is_positive_negative_or_neutral\" title=\"Sentiment analysis is a process of &#8216;computationally&#8217; determining whether a piece of writing is positive, negative or neutral\">Sentiment analysis is a process of &#8216;computationally&#8217; determining whether a piece of writing is positive, negative or neutral<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data\/#TextBlob_is_a_python_library_for_processing_textual_data\" title=\"TextBlob is a python library for processing textual data\">TextBlob is a python library for processing textual data<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data\/#It_analyzes_tweet_text_networks_and_geographical_origin\" title=\"It analyzes tweet text, networks, and geographical origin\">It analyzes tweet text, networks, and geographical origin<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data\/#It_calculates_polarity_values_of_individual_tweets_on_climate_change\" title=\"It calculates polarity values of individual tweets on climate change\">It calculates polarity values of individual tweets on climate change<\/a><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"How_Does_Python_Analyze_Twitter_Data\"><\/span>How Does Python Analyze Twitter Data?<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p><img decoding=\"async\" align=\"right\" src=\"https:\/\/i.imgur.com\/8DXk4Xw.png\" style=\"height:auto; max-width:37% width:auto; max-height:384px; margin:0px 10px;\" alt=\"How does Python analyze Twitter data\">  <\/p>\n<p>You&#8217;ve probably wondered how to extract sentiment from Twitter data. You can use the Python library TextBlob to do so. This library is built over the NLTK library and aims to remove links and special characters from tweets. Once the tweets have been tokenized, they can be analyzed by classifying the sentiment. One example of a Python application that uses this library is Movies Reviews. The TextBlob library can extract positive features from negative tweets.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Sentiment_analysis_is_a_process_of_computationally_determining_whether_a_piece_of_writing_is_positive_negative_or_neutral\"><\/span>Sentiment analysis is a process of &#8216;computationally&#8217; determining whether a piece of writing is positive, negative or neutral<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The general purpose of sentiment analysis is to identify the sentiment of a piece of writing, whether it is positive or negative. Many of the tasks that fall under the category of sentiment analysis include categorization and polarity determination. Traditionally, these tasks are positive and negative. Xia et al. (2015) studied intra-opinion aspects of sentiment analysis to determine the impact of context on sentiment classification accuracy.<\/p>\n<p>A common misconception about sentiment analysis is that it cannot be used to predict human emotions, but can only be used to determine the emotion of a piece of writing. However, this approach is not without merit. A large amount of labeled data is required for training. A large amount of data is needed for training a machine learning model to accurately determine the sentiment of a piece of writing.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"TextBlob_is_a_python_library_for_processing_textual_data\"><\/span>TextBlob is a python library for processing textual data<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>You can use the TextBlob library for Python to process textual data. The library provides an easy-to-use API for common natural language processing tasks, including noun-phrase extraction, sentiment analysis, classifying and translating text. The library is open source, and you can find more information about it here. Here are some features of TextBlob that you might find useful:<\/p>\n<p>As a Python library for text processing, TextBlob is very versatile and supports complex analysis and operations. Sentiment analysis, also known as opinion mining, uses computational linguistics and natural language processing to determine the polarity and subjectivity of text. You can use the library to analyze text based on polarity, subjectivity, emotion, and more. This library also works with emoticons and emojis.<\/p>\n<p>The Sentiment property of TextBlob returns a named tuple that contains the polarity and subjectivity of a given sentence. The score is between 0.0 and 1, and lower values indicate the subjectivity and polarity of a statement. If the subjectivity score is lower than one, then the text contains personal opinion while a higher value means that it is objective. TextBlob is a good library for beginners to learn NLP. Its API is simple and makes it easy to use.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"It_analyzes_tweet_text_networks_and_geographical_origin\"><\/span>It analyzes tweet text, networks, and geographical origin<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Using Twitter&#8217;s social network, geolocation can be inferred. Researchers have employed various techniques to infer location of tweets, including geo-tagging and geographic references in the tweet text. Using a model that accounts for topic variation, geographically coherent linguistic regions, and user location, these methods are able to geo-localize tweets. While achieving poor accuracy, they have reported a median error of 494 km.<\/p>\n<p>Twitter produces hundreds of millions of messages every day. Users talk about all kinds of topics, from politics to pop culture. Twitter makes it possible to access thousands of tweets in minutes. In this course, you&#8217;ll learn how to collect Twitter data, analyze tweet text, networks, and geographical origin, and use Twitter hashtags to perform data science analysis. Along with this, we will cover some recent events like the State of Union address.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"It_calculates_polarity_values_of_individual_tweets_on_climate_change\"><\/span>It calculates polarity values of individual tweets on climate change<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In order to determine what kind of sentiment people have about climate change, you can analyze text data. One method is sentiment analysis. Text analysis is done by identifying attitudes based on their polarity values, which are numbers between one. The higher the polarity, the more positive the sentiment. A Python package called textblob can calculate polarity values for individual tweets.<\/p>\n<p>This Python package can analyze individual tweets, remove urls, and use emojis to express sentiment. The data in the \/root\/nltk_data directory are extracted using the textblob package. Each tweet can contain a polarity value, as indicated by its attribute.polarity. This algorithm can also identify a tweet&#8217;s polarity score using its attribute.polarity().<\/p>\n<p> <iframe height=\"292\" frameborder=\"0\" width=\"522\" allowfullscreen=\"true\" src=\"https:\/\/www.youtube.com\/embed\/3EY-EEgXXmA\" style=\"margin:0px auto; display: block;\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How Does Python Analyze Twitter Data? You&#8217;ve probably wondered how to extract sentiment from Twitter data. You can use the Python library TextBlob to do so. This library is built over the NLTK library and aims to remove links and special characters from tweets. Once the tweets have been tokenized, they can be analyzed by [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":36995,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v19.7 (Yoast SEO v21.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How Does Python Analyze Twitter Data? - Zeru<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Does Python Analyze Twitter Data?\" \/>\n<meta property=\"og:description\" content=\"How Does Python Analyze Twitter Data? 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Her passion? To follow how the social media sites like Instagram, YouTube, Facebook, Twitter, and TikTok are maturing over time, and what businesses can do to keep up. She shares her insights on our blog in a true outpouring of knowledge and expertise. Her knowledge about technology and social media is vast, and she is always willing to share her insights with businesses to help them stay up-to-date with the latest trends.\",\"url\":\"https:\/\/zeru.com\/blog\/author\/writer\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"How Does Python Analyze Twitter Data? - Zeru","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/zeru.com\/blog\/how-does-python-analyze-twitter-data","og_locale":"en_US","og_type":"article","og_title":"How Does Python Analyze Twitter Data?","og_description":"How Does Python Analyze Twitter Data? 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