{"id":22010014,"url":"https://github.com/jack970/analysis-sentiment-twitter-elections","last_synced_at":"2025-03-23T07:30:35.695Z","repository":{"id":117349219,"uuid":"540645013","full_name":"jack970/Analysis-sentiment-twitter-elections","owner":"jack970","description":"Este código, desenvolvido em Python, extrai os 100 tweets mais recentes com a API do Twitter pelos temas: \"#Eleições2022 -#Lula\" e analisa os sentimentos dos tweets.","archived":false,"fork":false,"pushed_at":"2022-09-29T21:18:24.000Z","size":3141,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-28T14:21:50.127Z","etag":null,"topics":["eleicoes2022","jupyter-notebook","matplotlib","pandas","python37","tweepy"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/jack970.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":"2022-09-23T23:08:42.000Z","updated_at":"2023-02-28T02:24:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"32e7502f-0df3-4097-b311-80ce6af840d1","html_url":"https://github.com/jack970/Analysis-sentiment-twitter-elections","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jack970%2FAnalysis-sentiment-twitter-elections","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jack970%2FAnalysis-sentiment-twitter-elections/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jack970%2FAnalysis-sentiment-twitter-elections/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jack970%2FAnalysis-sentiment-twitter-elections/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jack970","download_url":"https://codeload.github.com/jack970/Analysis-sentiment-twitter-elections/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245071248,"owners_count":20556281,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["eleicoes2022","jupyter-notebook","matplotlib","pandas","python37","tweepy"],"created_at":"2024-11-30T02:11:45.324Z","updated_at":"2025-03-23T07:30:35.654Z","avatar_url":"https://github.com/jack970.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003eAnálise de sentimentos no Twitter - Eleições 2022\u003c/h1\u003e\n\nEste código, desenvolvido em Python, extrai os 100 tweets mais recentes com a API do Twitter pelos temas: \"#Eleições2022 -#Lula\". \n![Twitter-WordCloud](https://user-images.githubusercontent.com/53658838/193143379-2ad57815-7e69-49ee-8e9a-f8e686c60263.png)\n\nTambém, realiza tarefas como: \n* Agrupar todos em dataframes\n* Gerar uma imagem com as palavras mais presentes nos tweets (word cloud)\n* Traduzir os tweets para inglês\n* Adicionar as colunas subjetividade, polaridade no dataframe\n* Fazer a análise do texto em base da polaridade e classificá-lo como sendo: Positivo, Negativo ou Neutro na coluna de análise do Dataframe.\n* Mostrar a polaridade e subjetividade num gráfico de dispersão\n* Mostrar quantidade de tweets de acordo com o seu sentimento em gráfico de barras\n\n---\n### 🛠 Tecnologias usadas:\n  - [Python3](https://www.python.org)\n  - [Jupyter Notebook](https://jupyter.org/try)\n  - [Tweepy](https://www.tweepy.org)\n  - [Pandas](https://pandas.pydata.org)\n  - [MatplotLib](https://matplotlib.org)\n  - [TextBlob](https://textblob.readthedocs.io/en/dev/)\n  - [requests](https://pypi.org/project/requests/)\n  - [nltk](https://www.nltk.org)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjack970%2Fanalysis-sentiment-twitter-elections","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjack970%2Fanalysis-sentiment-twitter-elections","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjack970%2Fanalysis-sentiment-twitter-elections/lists"}