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- __init__.py
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- __init__.py
- test_gaussian_process.py
- test_gpc.py
- test_gpr.py
- test_kernels.py
- __init__.py
- correlation_models.py
- gaussian_process.py
- gpc.py
- gpr.py
- kernels.py
- regression_models.py
- __init__.py
- test_base.py
- test_bayes.py
- test_coordinate_descent.py
- test_huber.py
- test_least_angle.py
- test_logistic.py
- test_omp.py
- test_passive_aggressive.py
- test_perceptron.py
- test_randomized_l1.py
- test_ransac.py
- test_ridge.py
- test_sag.py
- test_sgd.py
- test_sparse_coordinate_descent.py
- test_theil_sen.py
- __init__.py
- base.py
- bayes.py
- cd_fast.pyx
- coordinate_descent.py
- huber.py
- least_angle.py
- logistic.py
- omp.py
- passive_aggressive.py
- perceptron.py
- randomized_l1.py
- ransac.py
- ridge.py
- sag.py
- sag_fast.pyx
- setup.py
- sgd_fast.pxd
- sgd_fast.pyx
- sgd_fast_helpers.h
- stochastic_gradient.py
- theil_sen.py
- __init__.py
- test_isomap.py
- test_locally_linear.py
- test_mds.py
- test_spectral_embedding.py
- test_t_sne.py
- __init__.py
- _barnes_hut_tsne.pyx
- _utils.pyx
- isomap.py
- locally_linear.py
- mds.py
- setup.py
- spectral_embedding_.py
- t_sne.py
- __init__.py
- test_bicluster.py
- test_supervised.py
- test_unsupervised.py
- __init__.py
- bicluster.py
- expected_mutual_info_fast.pyx
- setup.py
- supervised.py
- unsupervised.py
- __init__.py
- test_classification.py
- test_common.py
- test_pairwise.py
- test_ranking.py
- test_regression.py
- test_score_objects.py
- __init__.py
- base.py
- classification.py
- pairwise.py
- pairwise_fast.pyx
- ranking.py
- regression.py
- scorer.py
- setup.py
- __init__.py
- test_bayesian_mixture.py
- test_dpgmm.py
- test_gaussian_mixture.py
- test_gmm.py
- __init__.py
- base.py
- bayesian_mixture.py
- dpgmm.py
- gaussian_mixture.py
- gmm.py
- __init__.py
- common.py
- test_search.py
- test_split.py
- test_validation.py
- __init__.py
- _search.py
- _split.py
- _validation.py
- __init__.py
- test_approximate.py
- test_ball_tree.py
- test_dist_metrics.py
- test_kd_tree.py
- test_kde.py
- test_lof.py
- test_nearest_centroid.py
- test_neighbors.py
- __init__.py
- approximate.py
- ball_tree.pyx
- base.py
- binary_tree.pxi
- classification.py
- dist_metrics.pxd
- dist_metrics.pyx
- graph.py
- kd_tree.pyx
- kde.py
- lof.py
- nearest_centroid.py
- regression.py
- setup.py
- typedefs.pxd
- typedefs.pyx
- unsupervised.py
- __init__.py
- test_mlp.py
- test_rbm.py
- test_stochastic_optimizers.py
- __init__.py
- _base.py
- _stochastic_optimizers.py
- multilayer_perceptron.py
- rbm.py
- __init__.py
- test_data.py
- test_function_transformer.py
- test_imputation.py
- test_label.py
- __init__.py
- _function_transformer.py
- data.py
- imputation.py
- label.py
- __init__.py
- test_label_propagation.py
- __init__.py
- label_propagation.py
- atlas_aux.h
- atlas_dsysinfo.h
- atlas_enum.h
- atlas_level1.h
- atlas_level2.h
- atlas_misc.h
- atlas_refalias1.h
- atlas_refalias2.h
- atlas_reflevel1.h
- atlas_reflevel2.h
- atlas_reflvl2.h
- atlas_refmisc.h
- atlas_ssysinfo.h
- atlas_type.h
- cblas.h
- README.txt
- COPYRIGHT
- linear.h
- tron.h
- LIBSVM_CHANGES
- svm.h
- __init__.py
- test_bounds.py
- test_sparse.py
- test_svm.py
- __init__.py
- base.py
- bounds.py
- classes.py
- liblinear.pxd
- liblinear.pyx
- libsvm.pxd
- libsvm.pyx
- libsvm_sparse.pyx
- setup.py
- __init__.py
- test_base.py
- test_calibration.py
- test_check_build.py
- test_common.py
- test_cross_validation.py
- test_discriminant_analysis.py
- test_dummy.py
- test_grid_search.py
- test_init.py
- test_isotonic.py
- test_kernel_approximation.py
- test_kernel_ridge.py
- test_learning_curve.py
- test_metaestimators.py
- test_multiclass.py
- test_multioutput.py
- test_naive_bayes.py
- test_pipeline.py
- test_random_projection.py
- __init__.py
- test_export.py
- test_tree.py
- __init__.py
- _criterion.pxd
- _criterion.pyx
- _splitter.pxd
- _splitter.pyx
- _tree.pxd
- _tree.pyx
- _utils.pxd
- _utils.pyx
- export.py
- setup.py
- tree.py
- __init__.py
- test_traversal.py
- __init__.py
- _graph_tools.pyx
- _graph_validation.py
- _traversal.pyx
- README
- setup.py
- cholesky_delete.h
- gamma.h
- MurmurHash3.h
- __init__.py
- test_bench.py
- test_class_weight.py
- test_estimator_checks.py
- test_extmath.py
- test_fast_dict.py
- test_fixes.py
- test_graph.py
- test_linear_assignment.py
- test_metaestimators.py
- test_multiclass.py
- test_murmurhash.py
- test_optimize.py
- test_random.py
- test_seq_dataset.py
- test_shortest_path.py
- test_sparsefuncs.py
- test_stats.py
- test_testing.py
- test_utils.py
- test_validation.py
- __init__.py
- _logistic_sigmoid.pyx
- _random.pxd
- _random.pyx
- _scipy_sparse_lsqr_backport.py
- arpack.py
- arrayfuncs.pyx
- bench.py
- class_weight.py
- deprecation.py
- estimator_checks.py
- extmath.py
- fast_dict.pxd
- fast_dict.pyx
- fixes.py
- graph.py
- graph_shortest_path.pyx
- lgamma.pxd
- lgamma.pyx
- linear_assignment_.py
- metaestimators.py
- mocking.py
- multiclass.py
- murmurhash.pxd
- murmurhash.pyx
- optimize.py
- random.py
- seq_dataset.pxd
- seq_dataset.pyx
- setup.py
- sparsefuncs.py
- sparsefuncs_fast.pyx
- stats.py
- testing.py
- validation.py
- weight_vector.pxd
- weight_vector.pyx
- __init__.py
- _isotonic.pyx
- base.py
- calibration.py
- cross_validation.py
- discriminant_analysis.py
- dummy.py
- exceptions.py
- grid_search.py
- isotonic.py
- kernel_approximation.py
- kernel_ridge.py
- lda.py
- learning_curve.py
- multiclass.py
- multioutput.py
- naive_bayes.py
- pipeline.py
- qda.py
- random_projection.py
- setup.py
- .coveragerc
- .gitattributes
- .gitignore
- .landscape.yml
- .mailmap
- .travis.yml
- appveyor.yml
- AUTHORS.rst
- circle.yml
- CONTRIBUTING.md
- COPYING
- ISSUE_TEMPLATE.md
- Makefile
- MANIFEST.in
- PULL_REQUEST_TEMPLATE.md
- README.rst
- setup.cfg
- setup.py
- setup32.cfg
- site.cfg
- bow.py
- bow.pyc
- cek.py
- cek.pyc
- handlingNegation.py
- handlingNegation.pyc
- hasil.xlsx
- main.py
- main.pyc
- maxEnt.py
- maxEnt.pyc
- me.py
- me.pyc
- model_file
- ngramGenerator.py
- ngramGenerator.pyc
- plot.py
- plot.pyc
- pos.csv
- preprocessing.py
- preprocessing.pyc
- rangkuman.txt
- README.md
- riset.py
- riset.pyc
- svm.py
- svm.pyc
- svm_testing.py
- svm_train.py
- svm_train.pyc
- testing.csv
- tfidf.py
- tfidf.pyc
- training.csv
- tweet.xlsx
- tweet3000.csv
- tweet3000.xlsx
- twiit.csv
- twiit.xlsx
- twiitangka.csv
- twitter.pyc
# Installation Guide
1. Get the code
git clone https://github.com/ramaprakoso/analisis-sentimen
Downloads the entire project code from GitHub to your computer.
cd analisis-sentimen
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r scikit-learn-master/build_tools/appveyor/requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python main.py
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
3. Make
MediumPrerequisites
- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
cd scikit-learn-master
This project's files live in a subfolder, so move into it first.
make
Compiles the code based on the generated build configuration to produce an executable.
If it finishes without errors, it worked. Try running the generated executable directly.
// repository documentation
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