{"id":3650,"date":"2024-04-12T18:47:38","date_gmt":"2024-04-12T13:17:38","guid":{"rendered":"https:\/\/newsdata.io\/blog\/?p=3650"},"modified":"2024-04-17T12:48:36","modified_gmt":"2024-04-17T07:18:36","slug":"annotation-of-news-data-using-openais-gpt","status":"publish","type":"post","link":"https:\/\/newsdata.io\/blog\/annotation-of-news-data-using-openais-gpt\/","title":{"rendered":"How To Use OpenAI’s GPT 3.5 To Annotate News Data"},"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=”3716″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”5px” box_shadow=”medium_depth” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text]Annotation is usually a manual process where a human interacts with a raw data instance to assign the tag. But, with the arrival of Large Language Models(LLMs) – the idea of human in-loop data annotation could be automated, at least for the less complex objectives.<\/p>\n

To automate this process we require some techniques by which we can communicate with LLMs which in general is called Prompting.<\/p>\n

In this blog post, we will explore how LLMs can help us to annotate textual data (news data). We will be using OpenAI API (since it is popular \ud83d\ude09) but you can try with other open-source or closed-source models, for the same.[\/vc_column_text][vc_column_text]\n

What is Data Annotation?<\/strong><\/h2>\n[\/vc_column_text][vc_column_text]Data Annotation is the process of tagging data (which could be text, image, speech, etc.) by humans usually, with meaningful context, to train the Machine Learning(ML) models as per the output we expect.[\/vc_column_text][vc_column_text]\n

Benefits of Annotation using OpenAI GPT<\/strong><\/h3>\n[\/vc_column_text][vc_column_text]\n