ramisharanik / whatsapp-text-fiirt-analysis Goto Github PK

The respository analyze the whatsapp text which produces a flirt percentage of the chaters.

click this https://www.anaconda.com/distribution/#download-section According to your operating System Download the distribution and install( can refer any youtube videos)

After the installation of Anaconda, type Anaconda prompt in the windows search bar

1. Anaconda Prompt --> Right Click --> Run as Administrator 

2. conda create -n <project name>

Example: conda create -n nlp

3.After this step closes the Anaconda Prompt.

4. Again open

Anaconda Prompt --> Click
$(base)D:\er\# activate nlp
(nlp)D:\er\# pip install numpy
(nlp)D:\er\# pip install nltk
(nlp)D:\er\# pip install chardet
(nlp)D:\er\# pip install pandas
(nlp)D:\er\# pip install matplotlib
(nlp)D:\er\# pip install spyder=3.2.3 (This will install Python 3.6.8)

###Step 4: Run interested python code(with emoji, without emoji)

Output of the program

1. Talkative
2. Less_Talkative
3. Flirt word used by each(if only)
4. Flirt percentage for each(if they used)

Note: I have added limited flirt words in the list, please add more for effective process.

Analysed the text using pandas and statistics