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GitHub / swatimram / Thought-Prediction
Developed a web application using Java Script and Python libraries for emotion detection using words. Used Natural language processing and Sentimental analysis with the help of NLTK library like Twython, classifiers like Stochastic Gradient Descent, SVM were used to train the model. Markov chaining predicted the words and NLTK Gutenberg was used to obtain the datasets.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/swatimram%2FThought-Prediction
Stars: 0
Forks: 0
Open Issues: 12
License: None
Language: Python
Repo Size: 32.8 MB
Dependencies:
75
Created: over 5 years ago
Updated: about 5 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
Dependencies
- Flask ==0.12
- Jinja2 ==2.9.4
- MarkupSafe ==0.23
- Pygments ==2.2.0
- Werkzeug ==0.11.15
- bleach ==2.1.1
- chardet ==2.3.0
- click ==6.7
- colorama ==0.3.9
- configparser ==3.5.0
- decorator ==4.1.2
- emoji ==0.4.5
- entrypoints ==0.2.3
- enum34 ==1.1.6
- future ==0.15.2
- guess-language ==0.2
- guess-language-spirit ==0.5.3
- gunicorn ==19.7.1
- html5lib ==1.0b10
- httplib2 ==0.9.2
- ipaddress ==1.0.16
- ipykernel ==4.6.1
- ipython ==5.0.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.0.5
- itsdangerous ==0.24
- jsonschema ==2.5.1
- jupyter ==1.0.0
- jupyter-client ==5.1.0
- jupyter-console ==5.2.0
- jupyter-core ==4.4.0
- lockfile ==0.12.2
- marisa-trie ==0.7.4
- mistune ==0.8.1
- nbconvert ==5.3.1
- nbformat ==4.4.0
- ndg-httpsclient ==0.4.2
- nltk ==3.2.1
- notebook ==5.2.2
- numpy ==1.13.3
- oauth2 ==1.9.0.post1
- oauthlib ==2.0.6
- pandocfilters ==1.4.2
- pickleshare ==0.7.4
- prompt-toolkit ==1.0.15
- psutil ==4.2.0
- pyOpenSSL ==16.1.0
- pyasn1 ==0.1.9
- pycparser ==2.18
- python-dateutil ==2.6.1
- pytz ==2016.10
- pyxdg ==0.25
- pyzmq ==16.0.3
- qtconsole ==4.3.1
- raven ==6.3.0
- requests ==2.11.1
- requests-oauthlib ==0.8.0
- scikit-learn ==0.19.1
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- scour ==0.32
- simplegeneric ==0.8.1
- six ==1.10.0
- sklearn ==0.0
- testpath ==0.3.1
- textblob ==0.13.1
- tornado ==4.5.2
- traitlets ==4.3.2
- tweepy ==3.5.0
- twython ==3.6.0
- urllib3 ==1.15.1
- virtualenv ==15.1.0
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.0.8
- win-unicode-console ==0.5