Created
February 18, 2019 16:38
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Read in word vectors and visualize using TSNE
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| import gensim | |
| from sklearn.manifold import TSNE | |
| import matplotlib.pyplot as plt | |
| model = gensim.models.KeyedVectors.load_word2vec_format('MUSE/dumped/debug/8gywilp7r1/vectors-rw1.txt') | |
| model2 = gensim.models.KeyedVectors.load_word2vec_format('MUSE/dumped/debug/8gywilp7r1/vectors-lg1.txt') | |
| lg_dict = { | |
| "katonda": "god", | |
| "emu": "one", | |
| "kabaka": "king", | |
| "mutabani" : "son", | |
| "mukazi":"son-in-law", | |
| "bantu":"people", | |
| "lukalu":"land", | |
| "ttaka":"land", | |
| "ettaka":"land", | |
| "nsi":"land", | |
| "olukalu":"land", | |
| "nnyumba":"house", | |
| "ennyumba":"house", | |
| "omulenzi":"son", | |
| "taata":"father", | |
| "ekintu":"thing", | |
| "engoye":"thing", | |
| "kintu":"thing", | |
| "mukono":"hand", | |
| "omukono":"hand", | |
| "kifo":"place", | |
| "ekifo":"place", | |
| "ekibuga":"city", | |
| "kibuga":"city", | |
| "ensi":"earth", | |
| "erinnya":"name", | |
| "lunaku":"day", | |
| "misana":"day", | |
| "emisana":"day", | |
| "olunaku":"day", | |
| "mutima":"heart", | |
| "ekigambo":"word", | |
| "kigambo":"word", | |
| "byombi":"two", | |
| "mannyo":"two", | |
| "ekikoola":"two", | |
| "erinnyo":"two", | |
| "liiso":"eye", | |
| "eriiso":"eye", | |
| "nnyindo":"nose", | |
| "ennyindo":"nose", | |
| "omukwano":"love", | |
| "mukwano":"love", | |
| "mwanyina":"brother", | |
| "kwagalana":"to-love-each-other", | |
| "omuntu":"man", | |
| "omusajja":"man", | |
| "musajja":"man", | |
| } | |
| rw_dict = { | |
| "imana": "god", | |
| "rimwe": "one", | |
| "umwami": "king", | |
| "mwene" : "son", | |
| "umukwe":"son-in-law", | |
| "rubanda":"people", | |
| "isambu":"land", | |
| "igihugu":"land", | |
| "ubutaka":"land", | |
| "inzu":"house", | |
| "akazu":"house", | |
| "baba":"father", | |
| "ikintu":"thing", | |
| "akantu":"small-thing", | |
| "ikiganza":"hand", | |
| "umukono":"hand", | |
| "ahantu":"place", | |
| "igitaka":"earth", | |
| "isi":"earth", | |
| "izina":"name", | |
| "umunsi":"day", | |
| "umutima":"heart", | |
| "ijambo":"word", | |
| "ebyiri":"two", | |
| "kabiri":"two", | |
| "ijisho":"eye", | |
| "izuru":"nose", | |
| "ishyanga":"foreign-country", | |
| "urukundo":"love", | |
| "musaza":"brother-of-a-female", | |
| "umugambi":"plan", | |
| "umugambanyi":"traitor", | |
| "umusaza":"old-man", | |
| "umusore":"male-teenager", | |
| "data":"paternal-uncle", | |
| "sebukwe":"father-in-law-of-someone-else", | |
| "sobukwe":"father-in-law-of-person-being-spoken-to", | |
| "kurandata":"to-lead-by-the-hand", | |
| "gukunda":"to-like-love", | |
| "gukundana":"to-like-or-love-each-other", | |
| "gukundwa":"to-be-loved" | |
| } | |
| def tsne_plot(model1, model2): | |
| "Creates and TSNE model and plots it" | |
| labels1 = [] | |
| tokens1 = [] | |
| labels2 = [] | |
| tokens2 = [] | |
| for word in model1.wv.vocab: | |
| tokens1.append(model1[word]) | |
| labels1.append(word) | |
| for word in model2.wv.vocab: | |
| tokens2.append(model2[word]) | |
| labels2.append(word) | |
| tsne_model1 = TSNE(perplexity=50, n_components=2, init='pca', n_iter=2500, random_state=23) | |
| new_values1 = tsne_model1.fit_transform(tokens1) | |
| tsne_model2 = TSNE(perplexity=50, n_components=2, init='pca', n_iter=2500, random_state=23) | |
| new_values2 = tsne_model2.fit_transform(tokens2) | |
| x1 = [] | |
| y1 = [] | |
| for value in new_values1: | |
| x1.append(value[0]) | |
| y1.append(value[1]) | |
| x2 = [] | |
| y2 = [] | |
| for value in new_values2: | |
| x2.append(value[0]) | |
| y2.append(value[1]) | |
| plt.figure(figsize=(16, 16)) | |
| for i in range(len(x1)): | |
| translation = '' | |
| if (labels1[i]) in (rw_dict.keys()): | |
| translation = rw_dict[labels1[i]] | |
| else: | |
| translation = "null" | |
| plt.scatter(x1[i],y1[i],c='b') | |
| plt.annotate(labels1[i] + " - " + translation, | |
| xy=(x1[i], y1[i]), | |
| xytext=(5, 2), | |
| textcoords='offset points', | |
| ha='right', | |
| va='bottom') | |
| for i in range(len(x2)): | |
| translation = '' | |
| if (labels2[i]) in (lg_dict.keys()): | |
| translation = lg_dict[labels2[i]] | |
| else: | |
| translation = "null" | |
| plt.scatter(x2[i],y2[i],c='g') | |
| plt.annotate(labels2[i] + " - " + translation, | |
| xy=(x2[i], y2[i]), | |
| xytext=(5, 2), | |
| textcoords='offset points', | |
| ha='right', | |
| va='bottom') | |
| plt.savefig('shared-filtered.png') | |
| plt.show() | |
| tsne_plot(model, model2) |
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I love it. from Gabon