{"id":3329,"date":"2024-02-27T11:53:52","date_gmt":"2024-02-27T06:23:52","guid":{"rendered":"https:\/\/newsdata.io\/blog\/?p=3329"},"modified":"2026-08-06T11:56:07","modified_gmt":"2026-08-06T06:26:07","slug":"exploring-the-sentiment-and-tag-parameters","status":"publish","type":"post","link":"https:\/\/newsdata.io\/blog\/exploring-the-sentiment-and-tag-parameters\/","title":{"rendered":"Exploring the ‘Sentiment’ and ‘Tag’ parameters"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default” offset=”vc_hidden-sm vc_hidden-xs”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” el_class=”text_block_wrapper” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”3\/4″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default” offset=”vc_col-lg-9 vc_col-md-12″][image_with_animation image_url=”3354″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”zoom” alignment=”” border_radius=”15px” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text]The data extraction process involves constant improvement in both the process and the practices. This helps ensure a smoother extraction process and an enhanced user experience.<\/p>\n

Owing to the need for constant upgradation, Newsdata.io recently introduced two new parameters, i.e., the \u2018Sentiment\u2019 and \u2018Tag\u2019 parameters. This article is to help guide you through the workings of two new advanced features of Newsdata.io.
\n[\/vc_column_text][vc_column_text]\n

What is Sentiment Analysis in the News API?<\/strong><\/h2>\n[\/vc_column_text][vc_column_text]Sentiment analysis is the process of thoroughly analyzing the data regarding a particular subject to judge the overall tone of the news articles. This feature helps efficiently analyze public opinions about a certain issue.<\/p>\n

This feature has twofold benefits. Firstly, sentiment analysis helps a user analyze the existing sentiments and opinions in the market. Secondly, with the help of sentiment analysis tools, you can also predict upcoming trends and proceed accordingly. This also helps analyze the prevailing trends in the market.<\/p>\n

You can also check out the Sentiment Analysis<\/a> to learn more about the same.<\/p>\n[\/vc_column_text][vc_column_text]\n

Exploring the \u2018Sentiment\u2019 parameter of Newsdata.io<\/b><\/h2>\n[\/vc_column_text][vc_column_text]The \u2018Sentiment<\/strong>\u2019 parameter of Newsdata.io allows you to retrieve the articles based on the overall sentiment of the news article. The given news article can be either \u2018positive<\/strong>\u2019, ‘negative<\/strong>‘, or \u2018neutral<\/strong>\u2019.<\/p>\n

For instance, if you want to fetch news articles in favor of your query, you can insert the \u2018sentiment=positive<\/strong>\u2019 parameter. This request will fetch you positive news articles only<\/strong>.[\/vc_column_text][vc_column_text]NOTE: <\/b>The \u2018sentiment\u2019 parameter and \u2018sentiment\u2019 response objects are two different things. The \u2018sentiment\u2019 parameter is used to help specify the sentiment of the data you want extracted. On the other hand, the \u2018sentiment\u2019 response object is received in response to the query showing the overall sentiment of the news articles.<\/p>\n

You can also learn more about the \u2018sentiment\u2019 <\/a>response object.[\/vc_column_text][vc_column_text]\n

Who can access the \u2018Sentiment\u2019 parameter?\u00a0<\/b><\/h3>\n[\/vc_column_text][vc_column_text]The \u2018sentiment\u2019 parameter is exclusively available for users with professional<\/b> and corporate<\/b> plans, only when using the \u2018News\u2019 endpoint<\/b>. Check out pricing plans<\/a> to learn more about the plans available.<\/p>\n[\/vc_column_text][vc_column_text]\n

Working of the \u2018Sentiment\u2019 parameter<\/b><\/h3>\n[\/vc_column_text][vc_column_text]To understand better, how the \u2018sentiment\u2019 <\/b>parameter works here is an example to explain the working of the parameter.<\/p>\n

For instance, you want to extract news articles with \u2018positive\u2019 <\/b>sentiments only related to \u2018Modi\u2019<\/b>.<\/p>\n

https:\/\/newsdata.io\/api\/1\/news?apikey=YOUR_API_KEY&q=Modi&sentiment=positive\u00a0<\/code>[\/vc_column_text][image_with_animation image_url=”3339″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”zoom” alignment=”” border_radius=”15px” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text]This request will fetch you all news articles related to \u2018Barack Obama\u2019 <\/b>with \u2018Positive\u2019 <\/b>sentiment only.<\/p>\n[\/vc_column_text][vc_column_text]\n

The \u2018Tag\u2019 Parameter<\/b><\/h2>\n[\/vc_column_text][vc_column_text]The \u2018Tag\u2019 parameter of Newsdata.io allows you to fetch news articles based on the AI tags of the platform. The newsdata.io platform uses AI and machine learning to assign tags to each article for ease of segregation and extraction.<\/p>\n

For instance, if you want to extract news articles related to \u2018pizza\u2019, you can insert the \u2018tag=food\u2019 parameter. This request will fetch you all the articles related to the \u2018food<\/b>\u2019 tag.<\/p>\n[\/vc_column_text][vc_column_text]\n

Who can access the \u2018Tag\u2019 parameter?<\/b><\/h3>\n[\/vc_column_text][vc_column_text]The \u2018Tag\u2019 parameter is exclusively made available for users with professional <\/b>and corporate <\/b>plans. Check out pricing plans<\/a> to learn more about the plans available.<\/p>\n[\/vc_column_text][vc_column_text]\n

Working of the \u2018Tag\u2019 parameter<\/b><\/h3>\n[\/vc_column_text][vc_column_text]To understand better, how the \u2018tag\u2019 <\/b>parameter works here is an example to explain the working of the parameter.<\/p>\n

For instance, you want to extract news articles related to \u2018Ukraine-Russia War\u2019<\/b>, the tag related to it will be \u2018conflict&war\u2019.<\/b><\/p>\n

https:\/\/newsdata.io\/api\/1\/news?apikey=YOUR_API_KEY&q=Russia_Ukraine_war&tag=conflicts&war <\/code>[\/vc_column_text][image_with_animation image_url=”3340″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”zoom” alignment=”” border_radius=”15px” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text]This request will fetch you all news articles related to \u2018Covid\u2019 <\/b>with \u2018diseases\u2019 <\/b>tag only.<\/p>\n[\/vc_column_text][vc_column_text]\n

Why should you use these parameters?<\/strong><\/h2>\n[\/vc_column_text][vc_column_text]There are several reasons you can utilise the \u2018sentiment\u2019 and \u2018tag\u2019 parameters provided by Newsdata.io to your advantage. The combined benefits of these advanced features are discussed below:<\/p>\n

1. Political Sentiment Analysis<\/strong><\/h3>\n

The “sentiment” parameter is crucial for studying public sentiments about a specific political party, especially during elections. It helps the political parties gauge the number of votes in their favour and strategise accordingly. This is one of the core techniques covered in our guide on election monitoring with News APIs<\/strong><\/a>.<\/p>\n

2. Deeper Insights<\/strong><\/h3>\n

The \u2018Tag<\/strong>\u2019 parameter uses machine learning techniques and artificial intelligence to assign AI-classified tags to each of the fetched articles. This further enables you to indulge in articles related to broader themes or concepts.
\nWhen searching for articles using a keyword, many irrelevant ones are eliminated in the process because they are not readily evident or related to the keyword.<\/p>\n

3. Informed Decision-making<\/strong><\/h3>\n

The \u2018Sentiment<\/strong>\u2019 parameter allows you to monitor the market and the public\u2019s reaction. Thus enabling you to leverage the sentiment analysis findings to make informed decisions in different fields.<\/p>\n

4. Improved Search Results<\/strong><\/h3>\n

The \u2018Tag<\/strong>\u2019 parameter allows you to go beyond keyword-oriented searches and utilise AI-generated tags for only relevant data extraction. This parameter ensures efficiency by combining the benefits of AI-generated tags with data specifications provided by the user.<\/p>\n

5. Comparative Analysis<\/strong><\/h3>\n

The ‘sentiment’<\/b> parameter of Newsdata.io analyses individual articles across different news sources. This feature allows you to examine how a particular topic is being portrayed across various news sources, enabling you to gauge the overall sentiments of the public, the same approach used for tracking competitor coverage<\/strong><\/a> across the market.”<\/p>\n

6. Data Request Customisation<\/strong><\/h3>\n

The ‘tag<\/strong>‘ parameter assigns specific tags to different articles, allowing you to sort through large amounts of data and retrieve only the relevant information. This parameter not only lets you tailor your data requests to obtain the desired results but also stops irrelevant data from being retrieved.[\/vc_column_text][vc_column_text]\n

\u2018Tag\u2019 parameter VS \u2018category\u2019 parameter<\/strong><\/h2>\n[\/vc_column_text][vc_column_text]The common question that arises among users is why you need another feature when you already have a pre-existing \u2018category\u2019. \u00a0For a full breakdown of both, see our guide on categorization and tagging.<\/strong><\/a> To answer that query, given below is a table of key differences between the two.[\/vc_column_text][vc_column_text]\n\n\n\n\t\n\n\t\n\t\n\t\n\t


\nDistinguishing Features<\/strong><\/p>
\n<\/div><\/th>


\n'tag' Parameter<\/strong><\/p>
\n<\/div> <\/th>


\n'category' Parameter<\/strong><\/p>
\n<\/div><\/th>\n<\/tr>\n<\/thead>\n

Basic Functions<\/td>This parameter segregates the fetched articles into AI-classified categories by using machine learning algorithms for better understanding.<\/td>This parameter segregates the articles fetched into different, predefined categories based on context and keyword(s).<\/td>\n<\/tr>\n
Number of options<\/td>The options available under this parameter are extensive and continue to grow.<\/td>The options available under this parameter are limited.<\/td>\n<\/tr>\n
Benefits<\/td>It is beneficial when you need extensive yet quick search results.<\/td>It is beneficial when you only need keywords and context-specific results.<\/td>\n<\/tr>\n
Maintenance <\/td>Automatic<\/td>Manual maintenance<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n[\/vc_column_text][vc_column_text]\n

Frequently Asked Questions<\/strong><\/h2>\n[\/vc_column_text][vc_column_text]\n

Q1. What is the \u2018Tag\u2019 <\/b>parameter of newsdata.io?<\/h3>\n

The \u2018Tag<\/strong>\u2019 parameter of newsdata.io allows you to fetch news articles based on the AI tags provided by the platform to ensure relevant and efficient extraction.<\/p>\n

Q2. What are the benefits of these advanced features of newsdata.io?<\/h3>\n

There are several benefits to the \u2018Sentiment\u2019 <\/b>and \u2018Tag\u2019<\/b> parameters of newsdata.io. Some of the key benefits are quick and efficient data extraction<\/b>, deeper market insights,<\/b> and exploring emerging trends<\/b>.[\/vc_column_text][vc_column_text]\n

Q3. What level of technical expertise is required to utilize advanced features of newsdata.io?<\/h3>\n

The advanced features of Newsdata.io are user-friendly<\/b> and accessible to anyone with basic technical knowledge<\/b>. With detailed documentation, users can easily utilize these features.<\/p>\n

Q4. Are there any sectors directly benefiting from the advanced features of Newsdata.io?<\/h3>\n

Several sectors are benefiting from the advanced features of newsdata.io. But the key sectors benefiting are mentioned below.<\/p>\n

    \n
  • Finance and Investment sectors<\/b><\/li>\n
  • Government and Public Policy sector<\/b><\/li>\n
  • Public Relations and Marketing Sector<\/b>.<\/li>\n<\/ul>\n

    Q5. Who can access these advanced features of newsdata.io?<\/h3>\n

    To access the advanced features of \u2018Sentiment\u2019 and \u2018Tags\u2019 parameters, one must have either the professional plan<\/b> or the corporate plan<\/b>.[\/vc_column_text][image_with_animation image_url=”2982″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”zoom” alignment=”” border_radius=”15px” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” img_link=”https:\/\/bit.ly\/41MjLOC”][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

    There are plenty of filters and parameters to ensure efficient data extraction. The \u2018Sentiment\u2019 and \u2018Tag\u2019 parameters of Newsdata.io are among them too.<\/p>\n","protected":false},"author":18,"featured_media":3425,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[46],"tags":[],"yoast_head":"\nExploring the 'Sentiment' and 'Tag' parameters - Newsdata.io - Stay Updated with the Latest News API Trends<\/title>\n<meta name=\"description\" content=\"There are plenty of filters and parameters to ensure efficient data extraction. 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