{"id":18523210,"url":"https://github.com/iglee/perceptron-text-classifier","last_synced_at":"2026-04-27T20:31:26.837Z","repository":{"id":90698382,"uuid":"241050802","full_name":"iglee/Perceptron-Text-Classifier","owner":"iglee","description":"Sentiment Classification exercise with perceptron, feed-forward multilayer net, LSTM RNN, and RCNN!","archived":false,"fork":false,"pushed_at":"2020-03-02T19:02:55.000Z","size":589,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-14T18:53:56.685Z","etag":null,"topics":["bigram","feedforward-neural-network","lstm","perceptron","pytorch","rcnn","rnn","unigram"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/iglee.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-02-17T08:01:07.000Z","updated_at":"2024-09-03T09:14:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"1fef1b08-53ab-4749-89b6-e1c4cf82c83e","html_url":"https://github.com/iglee/Perceptron-Text-Classifier","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/iglee/Perceptron-Text-Classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FPerceptron-Text-Classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FPerceptron-Text-Classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FPerceptron-Text-Classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FPerceptron-Text-Classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iglee","download_url":"https://codeload.github.com/iglee/Perceptron-Text-Classifier/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iglee%2FPerceptron-Text-Classifier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32354564,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-27T20:07:02.737Z","status":"ssl_error","status_checked_at":"2026-04-27T20:07:00.910Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bigram","feedforward-neural-network","lstm","perceptron","pytorch","rcnn","rnn","unigram"],"created_at":"2024-11-06T17:34:35.194Z","updated_at":"2026-04-27T20:31:26.817Z","avatar_url":"https://github.com/iglee.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Perceptron Sentiment Classification of Text\n\n### 1. Single Perceptron Sentiment Classification\n- Pre-processing: lowercasing, frequency of word count to limit vocabulary, NLTK Snowball stemming\n- Unigram Feature\n- Unigram and Bigram Features\n\n\n### 2. Multilayer Perceptron Sentiment Classification\n- two layer with tanh activation layer, with sigmoid activation for final output (used BCE loss)\n\n### 3. Recurrent Neural Networks\n- Bi-directional LSTM with \"max pooling\" activation to a linear fully connected layer.  Then, this is fed to final Sigmoid activation.\n\n### 4. RCNN\n- Bi-directional LSTM with convolution and max pooling.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figlee%2Fperceptron-text-classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Figlee%2Fperceptron-text-classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figlee%2Fperceptron-text-classifier/lists"}