---
type: "raw_signal"
id: "language-models-for-text-classification-from-bag-of-cf8979"
slug: "language-models-for-text-classification-from-bag-of-cf8979"
title: "Language Models for Text Classification: From Bag-of-Words to Jev"
description: "Sebastian Raschka published a visual guide to language-model text classification, tracing approaches from bag-of-words classifiers through recurrent and convolutional neural networks to transformers, and using that history to frame Jev."
retrieval_nugget: "Sebastian Raschka published a visual guide to language-model text classification, tracing approaches from bag-of-words classifiers through recurrent and convolutional neural networks to transformers, and using that history to frame Jev."
observed_at: "2026-09-29"
record_date: "2026-09-29"
date_kind: "observed_at"
why_it_matters: "Sebastian Raschka published a visual guide to language-model text classification, tracing approaches from bag-of-words classifiers through recurrent and convolutional neural networks to transformers, and using that history to frame Jev. The article says bag-of-words plus logistic regression remains a cheap baseline and cites 89.9% accuracy on a balanced IMDb dataset, compared with 85.66% for an LS"
novelty: "notable"
verification_level: "source-linked"
signal_type: "research"
source_platform: "magazine.sebastianraschka.com"
topics: []
entities: []
related_patterns: []
source_url: "https://magazine.sebastianraschka.com/p/classifier-history-and-jev"
source_urls: ["https://magazine.sebastianraschka.com/p/classifier-history-and-jev"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:language-models-for-text-classification-from-bag-of-cf8979"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/language-models-for-text-classification-from-bag-of-cf8979/","markdown":"https://newruntime.com/signals/language-models-for-text-classification-from-bag-of-cf8979.md","json":"https://newruntime.com/signals/language-models-for-text-classification-from-bag-of-cf8979.json"}
---

# Language Models for Text Classification: From Bag-of-Words to Jev

## Retrieval answer

Sebastian Raschka published a visual guide to language-model text classification, tracing approaches from bag-of-words classifiers through recurrent and convolutional neural networks to transformers, and using that history to frame Jev.

Sebastian Raschka published a visual guide to language-model text classification, tracing approaches from bag-of-words classifiers through recurrent and convolutional neural networks to transformers, and using that history to frame Jev. The article says bag-of-words plus logistic regression remains a cheap baseline and cites 89.9% accuracy on a balanced IMDb dataset, compared with 85.66% for an LSTM in the examples discussed. Raschka characterizes Jev as potentially more general than task-specific classifiers and faster and cheaper than large general-purpose models for classification, but labels his account of Jev’s methodology an educated guess. He says he is unaffiliated and does not present the article as a product endorsement. https://magazine.sebastianraschka.com/p/classifier-history-and-jev

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)