result_test = pd.merge(df_test, apple, on='Date')
test_corpus = list(read_corpus(result_test["Body"], tokens_only=True))
testvecs = [model.infer_vector(test_corpus[i]) for i in range(result_test.shape[0]) ]
testvecs= np.array(testvecs)
ynew = regmodel.predict(testvecs)
ynew = np.squeeze(ynew)

pearsonr(ynew, np.array(result_test["Daily Change"]))