anjie 1.0.0
This python library provides corpus in English and various local african languages e.g(Youruba, Hausa, Pidgin), it also does sentiment analysis on brands
Requires Python: >=3.6

This python library provides corpus in English and various local african languages e.g(Youruba, Hausa, Pidgin), it also does sentiment analysis on brands

USAGE

Brand Sentiment Analysis

brand = the name of the brand you will like to perfrom sentiment analysis on e.g "MTN"
csvFileName = The name of the csv file you will like to save your output to, default is brandNews.csv. (optional parameter)
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from anjie import brandSentimentAnalysis
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brandSentimentAnalysis.anjie_brands(brand = "MTN", csvFileName = 'brandNews')
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import pandas as pd
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df = pd.read_csv("brandNews.csv.csv")
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Scraping English Corpus

noRows = The number of rows of news you want.
csvFileName = The name of the csv file you will like to save your output to, default is news.csv. (optional parameter)
News categories include ['news', 'sports', 'metro-plus', 'politics', 'business', 'entertainment', 'editorial', 'columnist']
removeCategories = [] :as a parameter for news categories you dont want in the scraped corpus. (optional parameter)
e.g , englishCorpus.scrape(noRows = 150, removeCategories = ['metro-plus', 'politics']) 

pass onlyCategories = [] : as a parameter for only categories you want in the scraped corpus. (optional parameter)
e.g , englishCorpus.scrape(noRows = 150, onlyCategories = ['news', 'sports', 'metro-plus', 'entertainment', 'editorial', 'columnist'])

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from anjie import englishCorpus
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englishCorpus.scrape(noRows = 150)
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df = pd.read_csv("news.csv")
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Scraping Hausa Corpus
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noRows = The number of rows of news you want. only 60 rows of hausa corpus is currently available.
csvName = The name of the csv file you will like to save your output to, default is hausa_news.csv. (optional parameter) 

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from anjie import hausaCorpus
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hausaCorpus.scrape(noRows = 10)
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import pandas as pd
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df = pd.read_csv("hausa_news.csv")
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Scraping Pidgin English corpus
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noRows = The number of rows of news you want.
csvFileName = The name of the csv file you will like to save your output to, default is pidgin_corpus.csv. (optional parameter)
News categories include ['nigeria', 'africa', 'sport', 'entertainment']
removeCategories = [] :as a parameter for news categories you dont want in the scraped corpus. (optional parameter)
e.g , englishCorpus.scrape(noRows = 150, removeCategories = ['entertainment']) 

pass onlyCategories = [] : as a parameter for only categories you want in the scraped corpus. (optional parameter)
e.g , englishCorpus.scrape(noRows = 150, onlyCategories = ['nigeria','sport', 'entertainment'])
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from anjie import pidginCorpus
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pidginCorpus.scrape(noRows = 20)
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df = pd.read_csv("pidgin_corpus.csv")
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Scraping Yoruba Corpus
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noRows = The number of rows of news you want.
csvFileName = The name of the csv file you will like to save your output to, default is yoruba_corpus.csv. (optional parameter)

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from anjie import yorubaCorpus
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yorubaCorpus.scrape(noRows = 20)
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df = pd.read_csv("yoruba_corpus.csv")
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Github link for project - https://github.com/Free-tek/Anjie_local_language_corpus_generator