GitHub - chandima131/Sinhala-Text-Classification: Sinhala tweets extraction preprocessing and classification using nltk and pandas library. Apply machine learning algorithms naive Bayes machine learning algorithms.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Dataset		Dataset
Multi Label		Multi Label
Single labeled		Single labeled
final work		final work
untitled		untitled
Access English tweets.ipynb		Access English tweets.ipynb
Accessing Sinhala tweets Final.ipynb		Accessing Sinhala tweets Final.ipynb
Accessing Sinhala tweets using excel file Final.ipynb		Accessing Sinhala tweets using excel file Final.ipynb
All Classification Algorithms in one place.ipynb		All Classification Algorithms in one place.ipynb
Calculate retweet count for existing tweets.ipynb		Calculate retweet count for existing tweets.ipynb
Convert csv file in excel.ipynb		Convert csv file in excel.ipynb
Dataset.xlsx		Dataset.xlsx
FinalListPreprocessedData.csv		FinalListPreprocessedData.csv
FinalListPreprocessedDataNew.csv		FinalListPreprocessedDataNew.csv
FinalListPreprocessedDataNew.xlsx		FinalListPreprocessedDataNew.xlsx
FinalListPreprocessedData_notworking.csv		FinalListPreprocessedData_notworking.csv
GetTweets		GetTweets
Logistic Regression Model-Copy1.ipynb		Logistic Regression Model-Copy1.ipynb
Logistic Regression Model.ipynb		Logistic Regression Model.ipynb
Multi label dataset.csv		Multi label dataset.csv
Naive bayes classifire.ipynb		Naive bayes classifire.ipynb
POS tagging.ipynb		POS tagging.ipynb
Pos all single label classifiers in one place-Copy1.ipynb		Pos all single label classifiers in one place-Copy1.ipynb
PreProcessing & Remove stop words Final-Copy1.ipynb		PreProcessing & Remove stop words Final-Copy1.ipynb
PreProcessing & Remove stop words Final.ipynb		PreProcessing & Remove stop words Final.ipynb
PreprocessedData.csv		PreprocessedData.csv
Remove Empty rows.ipynb		Remove Empty rows.ipynb
SGD classifire.ipynb		SGD classifire.ipynb
Screenshot 2021-07-18 233414.png		Screenshot 2021-07-18 233414.png
Single label dataset.csv		Single label dataset.csv
Single label dataset.xlsx		Single label dataset.xlsx
StopWords		StopWords
TweetsWithLabels		TweetsWithLabels
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Word2Vec-Copy1 only for testing- after test delete this.ipynb		Word2Vec-Copy1 only for testing- after test delete this.ipynb
Word2Vec-For Pos- and word final work.ipynb		Word2Vec-For Pos- and word final work.ipynb
Word2Vec-For Pos- and word-Copy1.ipynb		Word2Vec-For Pos- and word-Copy1.ipynb
Word2Vec-For Pos.ipynb		Word2Vec-For Pos.ipynb
Word2Vec.ipynb		Word2Vec.ipynb
aa-copy.csv		aa-copy.csv
aa.csv		aa.csv
aa.txt		aa.txt
aatest.xlsx		aatest.xlsx
all single label classifiers in one place Final.ipynb		all single label classifiers in one place Final.ipynb
data getting area		data getting area
get_tweets - Original Data - Do not change.csv		get_tweets - Original Data - Do not change.csv
get_tweets.csv		get_tweets.csv
model.bin		model.bin
remove duplicates from dataset.ipynb		remove duplicates from dataset.ipynb
stem_dictionary.txt		stem_dictionary.txt
stop words.txt		stop words.txt
ww.xlsx		ww.xlsx
~$Single label dataset.xlsx		~$Single label dataset.xlsx
~$ww.xlsx		~$ww.xlsx

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Sinhala tweets extraction preprocessing and classification using nltk and pandas library. Apply machine learning algorithms naive Bayes machine learning algorithms.