Automate sentiment analysis tool
Author : Sazin Reshed Samin
- Email : sazinsamin50@gmail.com
autosentiment is an open source library that generates sentiment type(positive,negetive,neutral) pie char,percentage,number and ternary value for pandas dataframe text portion.
- Usage
For analysis the seintiment type in positive,negetive or neutral
- Setup in normal environment and command window:
pip install autosentiment
- Setup in jupyter notebook:
!pip install autosentiment
- Import library :
import autosentiment as at
- The library is pandas dataframe dependent.
Have to get dataframe('text columns') and give to command.
Like df['text]
Features
- sentiment type pie chart :
at.pie()
- sentiment type amount :
Get the sentiment type(postive,negetive,neutral numbers)
at.number()
- sentiment percentage :
Get the percentage of sentiment type
at.percentage()
at.ternary_analysis
Get the type of all text, here -1:negetive, 0:neutral, 1:positive
at.ternary_analysis()
- An example usages
>>import autosentiment as at
>>import pandas as pd
>>df=pd.read_csv("/home/samin/anaconda3/dataset_2.csv")
>>percent=at.percentage(df['text'])
>>print(percent)
>>Positve : 33.31 %, Negetive 20.96 %, Neutral : 45.72 %
>>number=at.number(df['text'])
>>print(number)
>>{'positive ': 1087, 'negetive': 684, 'neutral': 1492}
>>ana=at.analysis_ternary(df['text'])
>>print(ana)
>>[-1, 1, 0.0, 0.0, 0.0, 0.0,.......,1]
>>at.pie(df['text'])
- For any bug, please notify in my email : sazinsamin50@gmail.com
1 maintainer
Metadata
1 maintainer
Release files for autosentiment 1.2.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| autosentiment-1.2.6.tar.gz | 2.9 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| autosentiment-1.2.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.1 kB
Release files / autosentiment-1.2.6.tar.gz
| Download URL | autosentiment-1.2.6.tar.gz |
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| Size | 2.9 kB |
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Release files / autosentiment-1.2.6-py3-none-any.whl
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| Size | 4.2 kB |
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