{"id":707,"date":"2023-07-06T10:23:48","date_gmt":"2023-07-06T10:23:48","guid":{"rendered":"https:\/\/www.fidelsoftech.com\/case-studies\/?p=707"},"modified":"2025-08-13T12:40:54","modified_gmt":"2025-08-13T12:40:54","slug":"multilingual-social-media-post-extraction","status":"publish","type":"post","link":"https:\/\/www.fidelsoftech.com\/case-studies\/multilingual-social-media-post-extraction\/","title":{"rendered":"Multilingual Social Media post extraction for product relevancy and sentiment analysis \u2013 Case Study"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_fullwidth_image src=”https:\/\/www.fidelsoftech.com\/case-studies\/wp-content\/uploads\/2023\/07\/multilingual-social-media-post-extraction.jpg” alt=”Multilingual social media post extraction” _builder_version=”4.19.5″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.18.0″ _module_preset=”default” custom_margin=”2px||0px||false|false” global_colors_info=”{}”][et_pb_fullwidth_post_title meta=”off” featured_image=”off” _builder_version=”4.18.0″ _module_preset=”default” title_text_align=”left” custom_margin=”0px||||false|false” custom_padding=”30px||||false|false” global_colors_info=”{}”][\/et_pb_fullwidth_post_title][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.18.0″ _module_preset=”default” custom_padding=”25px||||false|false” global_colors_info=”{}”][et_pb_row module_class=”inner-page” _builder_version=”4.18.0″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

About the client<\/h2>\n

A leading social media platform which is well-positioned to fulfil user\u2019s needs.<\/p>\n

Requirements:<\/h2>\n

Our client wanted us to establish a process with minimum human intervention for extracting the social media post on brand relevancy and sentiment associated with it in multiple locales which is influencing the consumer and companies as well by spreading useful information and exchange of positive, negative, or neutral values.<\/p>\n

The Challenges:<\/h2>\n

Client wanted us to develop a tool with an interface to extract all the social media post relevant to a product and brand involved in the analysis. To categorize these, we need to set up an automation process to extract the social media post globally in multiple locales like Arabic<\/a>, Swedish<\/a>, Korean<\/a>, and Indonesian<\/a>. The greatest challenge was to identify the public tweets with hashtags based upon the keyword or product information provided by client for analysis.<\/p>\n

\"Social<\/p>\n

The Solution:<\/h2>\n

Fidel analyzed the requirements and identified key areas which plays an important role in extracting multilingual social media post data and performs an analysis and categorization on extracted contents.<\/p>\n

    \n
  1. We provide hybrid approach of Web scraping and Social Media streaming API.<\/li>\n
  2. Python<\/a> script with supports Python based modules.<\/li>\n
  3. NLP<\/a> and lexicon dictionary to identify language detection and sentiment classification on various data languages.<\/li>\n<\/ol>\n

    Based upon this analysis, Fidel laid out the flow to achieve this with easy use of technology and programming languages like Python and its supported modules like NLP and NumPy.\u00a0<\/p>\n

    Benefits:<\/h2>\n

    We were able to categorize social media post to find out the brands presence and sentiment associated in the post.
    We were able to deliver high-volume categorized data across multiple languages with identifying relevancy as \u201cRelevant\u201d or \u201cIrrelevant\u201d and sentiment as \u201cPositive\u201d, \u201cNegative\u201d and \u201cNeutral\u201d.<\/p>\n

    Result:<\/h2>\n

    By categorizing social media posts, client can see where their brand is being mentioned and make better decisions. This information can be used to track brand awareness and engagement.<\/p>\n

    [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Section” module_class=”footer-cnt” _builder_version=”4.19.5″ _module_preset=”default” background_color=”#103e66″ custom_margin=”||0px||false|false” custom_padding=”||0px||false|false” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.17.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.17.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

    Is this Case Study interests you?<\/h2>\n

    If you found this case study similar to your requirement OR interested to get our services, please connect with us using form. We will be happy to respond.<\/p>\n

    [\/et_pb_text][et_pb_text _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”]<\/span><\/p>\n

    <\/i>Call us<\/h3>\n

    +91-20-49007800<\/a><\/p>\n

    <\/span><\/p>\n

    <\/i> Email us<\/h3>\n

    sales@fidelsoftech.com<\/a>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.17.1″ _module_preset=”default” global_colors_info=”{}”][dvppl_cf7_styler cf7=”1670″ form_background_color=”#FFFFFF” _builder_version=”4.27.4″ _module_preset=”default” form_field_font_font=”Arial||||||||” background_enable_color=”off” global_colors_info=”{}” locked=”off”][\/dvppl_cf7_styler][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

    About the client The client is a Japanese article publisher company. They are a leading platform that publishes detailed information…<\/p>\n","protected":false},"author":6,"featured_media":721,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"2880","footnotes":""},"categories":[5],"tags":[],"class_list":["post-707","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-langtech"],"_links":{"self":[{"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/posts\/707","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/comments?post=707"}],"version-history":[{"count":21,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/posts\/707\/revisions"}],"predecessor-version":[{"id":1707,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/posts\/707\/revisions\/1707"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/media\/721"}],"wp:attachment":[{"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/media?parent=707"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/categories?post=707"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fidelsoftech.com\/case-studies\/wp-json\/wp\/v2\/tags?post=707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}