/var/www/htdocs/pustaka-digital/lib/SearchEngine/SearchBiblioEngine.php:688 "Search Engine Debug 🔎 🪲"
Engine Type ⚙️: "SLiMS\SearchEngine\SearchBiblioEngine"
SQL ⚙️: array:2 [ "count" => "select count(sb.biblio_id) from search_biblio as sb where sb.opac_hide=0 and ((match (sb.topic) against (:subject in boolean mode)))" "query" => "select sb.biblio_id, sb.title, sb.author, sb.topic, sb.image, sb.isbn_issn, sb.publisher, sb.publish_place, sb.publish_year, sb.labels, sb.input_date, sb.edition, sb.collation, sb.series_title, sb.call_number from search_biblio as sb where sb.opac_hide=0 and ((match (sb.topic) against (:subject in boolean mode))) order by sb.last_update desc limit 10 offset 0" ]
Bind Value ⚒️: array:1 [ ":subject" => "'+\"Sentiment Analysis\"'" ]
Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Is…