{"id":6596,"date":"2018-08-29T15:55:58","date_gmt":"2018-08-29T15:55:58","guid":{"rendered":"https:\/\/socl-dev.scraawl.com\/product\/?page_id=6596"},"modified":"2022-04-26T17:00:10","modified_gmt":"2022-04-26T17:00:10","slug":"txt-features","status":"publish","type":"page","link":"https:\/\/10.19.3.33\/product\/txt\/txt-features\/","title":{"rendered":"TxT Features"},"content":{"rendered":"

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Import documents and datasets such as news articles, reports, blogs, comments, chat transcripts, SMS, and e-mail.” css=”.vc_custom_1589387835684{padding-right: 50px !important;}” title=” TEXT SOURCES”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”4744″ img_size=”medium” alignment=”center”][\/vc_column_inner][\/vc_row_inner][cms_heading title=”Geo-Spatial Analytics” subtitle=”Geo-referencing and geo-fencing” color_title=”#56b18d” css=”.vc_custom_1650992397555{margin-top: 15px !important;}”][vc_row_inner equal_height=”yes”][vc_column_inner width=”1\/2″][cms_fancy_box add_icon=”symbol” i_type=”strokegapicons” description=”Use Scraawl TxT to gain a better understanding of the geo-referenced and geo-coded locations within your dataset. Drill down to specific regions\/countries for more focused analysis.” title=”GEO-SPATIAL” css=”.vc_custom_1590121612395{padding-right: 50px !important;}”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”8845″ img_size=”medium”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_empty_space][cms_heading title=” Content Analytics” subtitle=”Topic modeling, timeline, and text summarization” color_title=”#56b18d”][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes”][vc_column_inner width=”1\/2″][cms_fancy_box add_icon=”symbol” i_type=”strokegapicons” i_icon_strokegapicons=”sgicon sgicon-List” description=”Use Scraawl TxT to filter your dataset by commonly used words or languages.” css=”.vc_custom_1589387969250{padding-right: 50px !important;}” title=”Top Words & Languages”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”10699″ img_size=”medium”][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” el_class=”topic-modeling”][vc_column_inner el_class=”Topic-Modeling” width=”1\/2″][cms_fancy_box add_icon=”symbol” i_type=”strokegapicons” i_icon_strokegapicons=”sgicon sgicon-Files” description=”Use Scraawl TxT to analyze your repository of documents to discover underlying themes. Scraawl TxT\u2019s Topic Modeling analytic uses a language-independent probabilistic model to abstract topics from patterns in word use to partition content into distinct topical threads.” title=”TOPIC MODELING” css=”.vc_custom_1590105816093{padding-left: 50px !important;}” el_class=”topic-modeling”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”10700″ img_size=”medium” el_class=”topic-modeling”][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes”][vc_column_inner width=”1\/2″][cms_fancy_box add_icon=”symbol” i_type=”strokegapicons” i_icon_strokegapicons=”sgicon sgicon-Time” description=”Use Scraawl TxT to see a break-out view of content to gain a better temporal view of events and trends. Scraawl TxT\u2019s Timeline View includes headline text for enhanced knowledge discovery.” css=”.vc_custom_1589389635970{padding-right: 50px !important;}” title=”TIMELINE VIEW”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”10701″ img_size=”medium” alignment=”center” css=”.vc_custom_1587667655043{padding-top: 30px !important;}”][\/vc_column_inner][\/vc_row_inner][vc_empty_space][cms_heading title=”Entity Analytics” subtitle=”Named entity recognition and resolution, entity relation graph, and proximity correlator” color_title=”#56b18d”][vc_row_inner equal_height=”yes”][vc_column_inner width=”1\/2″][cms_fancy_box add_icon=”symbol” i_type=”strokegapicons” i_icon_strokegapicons=”sgicon sgicon-ManFigure” description=”When facing volumes of documents, use Scraawl TxT to quickly and accurately detect 25+ entity classes such as organizations, people, locations, emails, and URLs. 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In these graphs, the nodes represent entities and the links indicate relations between them.” title=”ENTITY RELATION NETWORK GRAPH” css=”.vc_custom_1589388284692{padding-right: 50px !important;}”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”8820″ img_size=”medium”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_empty_space][cms_heading title=”Image Processing Analytics” subtitle=”Uploaded and embedded media galleries” color_title=”#56b18d”][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes”][vc_column_inner width=”1\/2″][cms_fancy_box add_icon=”symbol” i_type=”strokegapicons” i_icon_strokegapicons=”sgicon sgicon-DSLRCamera” description=”Use Scraawl TxT to display images (including those embedded in files) with integrated OCR and translation.” css=”.vc_custom_1589388313023{padding-right: 50px !important;}” title=”MEDIA GALLERY”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”10702″ img_size=”medium” alignment=”center” css=”.vc_custom_1587667873721{padding-top: 30px !important;}”][\/vc_column_inner][\/vc_row_inner][vc_empty_space][vc_empty_space][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

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