{"ok":true,"trend":{"id":415561,"platform":"hn","region":"global","key":"language models for text classification: from bag-of-words to jev","title":"Language models for text classification: From bag-of-words to Jev","url":"https://magazine.sebastianraschka.com/p/classifier-history-and-jev","first_seen":"2026-09-29T23:35:39.666498Z","last_seen":"2026-09-30T13:05:39.679974Z","last_rank":18,"peak_rank":17,"last_volume":147,"peak_volume":147,"seen_count":55,"score":63.21,"category_hint":null,"section":null,"category":null,"summary":"Machine learning researcher Sebastian Raschka has published a long-form article reviewing the history of text classification methods, from classic bag-of-words and naive Bayes approaches through embeddings to Jev, a recent language-model-based classifier. The piece explains how the field evolved and why modern language models are changing how practitioners approach classification tasks.","why":"The article offers a rare accessible overview connecting decades of classification techniques to the newest language-model approaches, appealing to ML practitioners.","tone":"neutral","entities":["Sebastian Raschka","Jev"],"summarized_at":"2026-09-30T11:40:33.440244Z","meta":{"lang":"en","link":"https://magazine.sebastianraschka.com/p/classifier-history-and-jev","hn_id":"49891203","comments":7},"nw":null,"promo":null,"kind":null,"importance":null,"hidden":false,"hide_reason":null,"judged_at":null,"title_en":"Sebastian Raschka traces text classification from bag-of-words to Jev","timeline":[{"captured_at":"2026-09-29T23:35:39.666498Z","rank":26,"volume":9},{"captured_at":"2026-09-29T23:50:39.738379Z","rank":25,"volume":12},{"captured_at":"2026-09-30T00:05:39.865721Z","rank":23,"volume":13},{"captured_at":"2026-09-30T00:20:39.682958Z","rank":26,"volume":16},{"captured_at":"2026-09-30T00:35:39.611344Z","rank":25,"volume":18},{"captured_at":"2026-09-30T00:50:39.766029Z","rank":27,"volume":21},{"captured_at":"2026-09-30T01:05:39.606869Z","rank":27,"volume":22},{"captured_at":"2026-09-30T01:20:39.765593Z","rank":27,"volume":25},{"captured_at":"2026-09-30T01:35:39.672673Z","rank":27,"volume":25},{"captured_at":"2026-09-30T01:50:39.625389Z","rank":29,"volume":25},{"captured_at":"2026-09-30T02:05:39.615072Z","rank":29,"volume":26},{"captured_at":"2026-09-30T02:20:39.926909Z","rank":28,"volume":28},{"captured_at":"2026-09-30T02:35:39.717903Z","rank":27,"volume":34},{"captured_at":"2026-09-30T02:50:39.682480Z","rank":26,"volume":38},{"captured_at":"2026-09-30T03:05:39.627503Z","rank":24,"volume":42},{"captured_at":"2026-09-30T03:20:39.760949Z","rank":22,"volume":45},{"captured_at":"2026-09-30T03:35:39.704231Z","rank":22,"volume":47},{"captured_at":"2026-09-30T03:50:39.679299Z","rank":21,"volume":49},{"captured_at":"2026-09-30T04:05:39.934727Z","rank":21,"volume":49},{"captured_at":"2026-09-30T04:20:39.635391Z","rank":20,"volume":53},{"captured_at":"2026-09-30T04:35:39.712808Z","rank":18,"volume":58},{"captured_at":"2026-09-30T04:50:39.646412Z","rank":19,"volume":62},{"captured_at":"2026-09-30T05:05:39.608561Z","rank":19,"volume":64},{"captured_at":"2026-09-30T05:20:39.624952Z","rank":18,"volume":65},{"captured_at":"2026-09-30T05:35:39.663434Z","rank":19,"volume":66},{"captured_at":"2026-09-30T05:50:39.762768Z","rank":19,"volume":69},{"captured_at":"2026-09-30T06:05:39.665677Z","rank":19,"volume":70},{"captured_at":"2026-09-30T06:20:39.752673Z","rank":19,"volume":73},{"captured_at":"2026-09-30T06:35:39.599915Z","rank":20,"volume":75},{"captured_at":"2026-09-30T06:50:39.729649Z","rank":20,"volume":79},{"captured_at":"2026-09-30T07:05:39.659450Z","rank":19,"volume":83},{"captured_at":"2026-09-30T07:20:39.671110Z","rank":19,"volume":86},{"captured_at":"2026-09-30T07:35:39.652873Z","rank":19,"volume":89},{"captured_at":"2026-09-30T07:50:39.667233Z","rank":19,"volume":91},{"captured_at":"2026-09-30T08:05:39.652758Z","rank":19,"volume":98},{"captured_at":"2026-09-30T08:20:39.703617Z","rank":19,"volume":102},{"captured_at":"2026-09-30T08:35:39.740869Z","rank":18,"volume":103},{"captured_at":"2026-09-30T08:50:39.678583Z","rank":18,"volume":105},{"captured_at":"2026-09-30T09:05:39.632261Z","rank":19,"volume":106},{"captured_at":"2026-09-30T09:20:39.640662Z","rank":19,"volume":109},{"captured_at":"2026-09-30T09:35:39.727123Z","rank":19,"volume":116},{"captured_at":"2026-09-30T09:50:39.702986Z","rank":19,"volume":119},{"captured_at":"2026-09-30T10:05:39.785470Z","rank":19,"volume":124},{"captured_at":"2026-09-30T10:20:39.783530Z","rank":18,"volume":127},{"captured_at":"2026-09-30T10:35:39.704008Z","rank":17,"volume":131},{"captured_at":"2026-09-30T10:50:39.774796Z","rank":17,"volume":133},{"captured_at":"2026-09-30T11:05:39.635990Z","rank":18,"volume":134},{"captured_at":"2026-09-30T11:20:39.645132Z","rank":18,"volume":134},{"captured_at":"2026-09-30T11:35:39.763578Z","rank":17,"volume":136},{"captured_at":"2026-09-30T11:50:39.785091Z","rank":17,"volume":138},{"captured_at":"2026-09-30T12:05:39.607247Z","rank":19,"volume":139},{"captured_at":"2026-09-30T12:20:39.801964Z","rank":18,"volume":140},{"captured_at":"2026-09-30T12:35:39.609444Z","rank":18,"volume":143},{"captured_at":"2026-09-30T12:50:39.765936Z","rank":18,"volume":144},{"captured_at":"2026-09-30T13:05:39.679974Z","rank":18,"volume":147}],"posts":[{"platform":"hn","url":"https://news.ycombinator.com/item?id=49891203","author":"Anon84","title":"Language models for text classification: From bag-of-words to Jev","snippet":null,"posted_at":"2026-09-29T11:06:25Z","likes":147}],"elsewhere":[],"window":"7d"}}