Slides about the purpose and the functionality of this project (german)
- make sure python is installed
- execute
pip install nltk
in the terminal - download nltk data by opening python and run:
>>> import nltk
>>> nltk.download()
- select
C:/nltk_data
as the destination folder and selectdownload_all
in the list and then click on download - have fun
- open terminal and execute
pip install nltk
- make sure in downloader.py line 380 in
/usr/local/lib/python2.7/dist-packages/nltk/
theDEFAULT_URL
is set to"http://nltk.github.com/nltk_data/"
- download nltk data by executing this command:
~$ sudo python -m nltk.downloader -d /usr/local/share/nltk_data all
- have fun
- Python >= 2.7
- NumPy >= 1.10
- Scipy >= 0.16
open the terminal and execute the following code:
~$ sudo apt-get install libamd2.* libblas3gf libc6 libgcc1 \
libgfortran3 liblapack3gf libumfpack5.* libstdc++6 \
build-essential gfortran python-all-dev \
libatlas-base-dev python-tk
~$ sudo apt-get install python-setuptools
~$ sudo easy_install pip
~$ sudo pip install --upgrade gensim
(NumPy and SciPy would be downloaded automatically)
All dependencies should be resolved and installation is complete to use GENSIM
open the terminal and execute the following code:
~$ sudo pip install texttable
To use the Glove Word2Vec in the GUI you need to download the pre-trained word vectors with 840B tokens from http://nlp.stanford.edu/projects/glove/ and save the text file as "common.840B.300d.txt" in a self created folder named "fashion-mining\data\tmp".