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fixing docs
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@huseinzol05
huseinzol05 committed Dec 25, 2018
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174 changes: 86 additions & 88 deletions docs/load-topic-modelling.rst
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60 changes: 29 additions & 31 deletions docs/load-topics-influencers.rst
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Original file line number Diff line number Diff line change
@@ -1,17 +1,17 @@

.. code:: ipython3
.. code:: python
import malaya
.. code:: ipython3
.. code:: python
news = 'najib razak dan mahathir mengalami masalah air di kemamam terengganu'
second_news = 'ikat penyedia perkhidmatan jalur lebar Telekom Malaysia (TM) perlu mencari jalan penyelesaian bagi meningkatkan akses capaian Internet ke seluruh negara, kata Menteri Komunikasi dan Multimedia, Gobind Singh Deo. Beliau berkata menjadi dasar kerajaan untuk membekalkan akses Internet jalur lebar kepada semua dan memberi penekanan kepada kualiti perkhidmatan yang terbaik. "Dasar kerajaan untuk bekalkan akses kepada semua bukan sekadar pembekalan sahaja tetapi beri penekanan kepada kualiti perkhidmatan yang baik dan dapat bersaing dengan negara lain pada tahap antarabangsa," kata Gobind Singh menerusi catatan di laman rasmi Twitter beliau, malam tadi. Beliau berkata demikian sebagai respons terhadap aduan beberapa pengguna Twitter berhubung akses Internet yang masih tidak stabil serta harga yang tidak berpatutan di beberapa lokasi di seluruh negara.'
Using fuzzy for topics
----------------------

.. code:: ipython3
.. code:: python
malaya.topic_influencer.fuzzy_topic(news)
Expand All @@ -24,7 +24,7 @@ Using fuzzy for topics
.. code:: ipython3
.. code:: python
malaya.topic_influencer.fuzzy_topic(second_news)
Expand All @@ -49,7 +49,7 @@ Using fuzzy for topics
Using fuzzy for influencers
---------------------------

.. code:: ipython3
.. code:: python
malaya.topic_influencer.fuzzy_influencer(news)
Expand All @@ -62,7 +62,7 @@ Using fuzzy for influencers
.. code:: ipython3
.. code:: python
malaya.topic_influencer.fuzzy_influencer(second_news)
Expand All @@ -78,7 +78,7 @@ Using fuzzy for influencers
Using fuzzy for location
------------------------

.. code:: ipython3
.. code:: python
malaya.topic_influencer.fuzzy_location('saya suka makan sate di sungai petani')
Expand All @@ -94,7 +94,7 @@ Using fuzzy for location
Check location from a string
----------------------------

.. code:: ipython3
.. code:: python
malaya.topic_influencer.is_location('sungai petani')
Expand All @@ -110,11 +110,11 @@ Check location from a string
Train TF-IDF for topics analysis
--------------------------------

.. code:: ipython3
.. code:: python
topics_similarity = malaya.topic_influencer.fast_topic()
.. code:: ipython3
.. code:: python
topics_similarity.get_similarity(news)
Expand All @@ -133,11 +133,11 @@ Train TF-IDF for topics analysis
Train TF-IDF for influencers analysis
-------------------------------------

.. code:: ipython3
.. code:: python
influencers_similarity = malaya.topic_influencer.fast_influencer()
.. code:: ipython3
.. code:: python
influencers_similarity.get_similarity(news)
Expand All @@ -153,7 +153,7 @@ Train TF-IDF for influencers analysis
.. code:: ipython3
.. code:: python
influencers_similarity.get_similarity(second_news)
Expand All @@ -176,7 +176,7 @@ Train TF-IDF for influencers analysis
Train skip-thought model for topics analysis
--------------------------------------------

.. code:: ipython3
.. code:: python
deep_topic = malaya.topic_influencer.skipthought_topic()
Expand All @@ -190,7 +190,7 @@ Train skip-thought model for topics analysis
minibatch loop: 100%|██████████| 157/157 [01:44<00:00, 1.70it/s, cost=0.00152]
.. code:: ipython3
.. code:: python
deep_topic.get_similarity(news, anchor = 0.5)
Expand All @@ -211,7 +211,7 @@ Train skip-thought model for topics analysis
.. code:: ipython3
.. code:: python
deep_topic.get_similarity(second_news, anchor = 0.5)
Expand All @@ -237,7 +237,7 @@ Train skip-thought model for topics analysis
Train skip-thought model for influencers analysis
-------------------------------------------------

.. code:: ipython3
.. code:: python
deep_influencer = malaya.topic_influencer.skipthought_influencer()
Expand All @@ -256,7 +256,7 @@ Train skip-thought model for influencers analysis
minibatch loop: 100%|██████████| 20/20 [00:12<00:00, 1.62it/s, cost=0.219]
.. code:: ipython3
.. code:: python
deep_influencer.get_similarity(news, anchor = 0.5)
Expand All @@ -269,7 +269,7 @@ Train skip-thought model for influencers analysis
.. code:: ipython3
.. code:: python
deep_influencer.get_similarity(second_news, anchor = 0.5)
Expand All @@ -285,7 +285,7 @@ Train skip-thought model for influencers analysis
Train siamese network for topics analysis
-----------------------------------------

.. code:: ipython3
.. code:: python
deep_topic = malaya.topic_influencer.siamese_topic()
print(deep_topic.get_similarity(news, anchor = 0.5))
Expand All @@ -294,11 +294,11 @@ Train siamese network for topics analysis
.. parsed-literal::
minibatch loop: 100%|██████████| 157/157 [01:50<00:00, 1.67it/s, accuracy=1, cost=0.114]
minibatch loop: 100%|██████████| 157/157 [01:49<00:00, 1.69it/s, accuracy=1, cost=0.0739]
minibatch loop: 100%|██████████| 157/157 [01:49<00:00, 1.66it/s, accuracy=1, cost=0.0686]
minibatch loop: 100%|██████████| 157/157 [01:50<00:00, 1.68it/s, accuracy=1, cost=0.0279]
minibatch loop: 100%|██████████| 157/157 [01:49<00:00, 1.70it/s, accuracy=1, cost=0.0193]
minibatch loop: 100%|██████████| 157/157 [01:50<00:00, 1.67it/s, accuracy=1, cost=0.114]
minibatch loop: 100%|██████████| 157/157 [01:49<00:00, 1.69it/s, accuracy=1, cost=0.0739]
minibatch loop: 100%|██████████| 157/157 [01:49<00:00, 1.66it/s, accuracy=1, cost=0.0686]
minibatch loop: 100%|██████████| 157/157 [01:50<00:00, 1.68it/s, accuracy=1, cost=0.0279]
minibatch loop: 100%|██████████| 157/157 [01:49<00:00, 1.70it/s, accuracy=1, cost=0.0193]
.. parsed-literal::
Expand All @@ -307,7 +307,7 @@ Train siamese network for topics analysis
['politik', 'kkmm', 'bumiputra', 'malaysia-indonesia', 'menteri pertahanan', 'motogp', 'programming language', 'twitter', 'lgbt', 'gaji menteri', 'singapura']
.. code:: ipython3
.. code:: python
print(deep_topic.get_similarity(news, anchor = 0.7))
print(deep_topic.get_similarity(second_news, anchor = 0.7))
Expand All @@ -322,7 +322,7 @@ Train siamese network for topics analysis
Train siamese network for influencers analysis
----------------------------------------------

.. code:: ipython3
.. code:: python
deep_influencer = malaya.topic_influencer.siamese_influencer()
Expand All @@ -336,7 +336,7 @@ Train siamese network for influencers analysis
minibatch loop: 100%|██████████| 20/20 [00:14<00:00, 1.47it/s, accuracy=0.875, cost=0.0637]
.. code:: ipython3
.. code:: python
deep_influencer.get_similarity(news, anchor = 0.5)
Expand All @@ -349,7 +349,7 @@ Train siamese network for influencers analysis
.. code:: ipython3
.. code:: python
deep_influencer.get_similarity(second_news, anchor = 0.5)
Expand All @@ -359,5 +359,3 @@ Train siamese network for influencers analysis
.. parsed-literal::
['gobind singh deo']
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