Update Readme--text part (#940)

* Update UserGuide-en.md

* Update README.md

docs/components/README.md

@@ -440,7 +440,7 @@ Text展示文本任务任意阶段的数据输出，对比不同阶段的文本
 Text组件的记录接口如下：
 
 ```python
-add_text(self, tag, text_string, step=None, walltime=None)
+add_text(tag, text_string, step=None, walltime=None)
 ```
 
 接口参数说明如下：
@@ -852,7 +852,7 @@ visualdl --logdir ./log --port 8080
 
 ### 介绍
 
-High Dimensional 组件将高维数据进行降维展示，用于深入分析高维数据间的关系。目前支持以下两种降维算法：
+High Dimensional 组件将高维数据进行降维展示，用于深入分析高维数据间的关系。目前支持以下三种降维算法：
 
  - PCA : Principle Component Analysis 主成分分析
  - t-SNE : t-distributed stochastic neighbor embedding t-分布式随机领域嵌入

docs/components/UserGuide-en.md

@@ -382,7 +382,7 @@ visualizes the text output of NLP models within any stage, aiding developers to
 The interface of the Text is shown as follows:
 
 ```python
-add_text(self, tag, text_string, step=None, walltime=None)
+add_text(tag, text_string, step=None, walltime=None)
 ```
 
 The interface parameters are described as follows:
@@ -798,7 +798,7 @@ Then, open the browser and enter the address`http://127.0.0.1:8080` to view:
 
 ### Introduction
 
-High Dimensional projects high-dimensional data into a low dimensional space, aiding users to have an in-depth analysis of the relationship between high-dimensional data. Two dimensionality reduction algorithms are supported:
+High Dimensional projects high-dimensional data into a low dimensional space, aiding users to have an in-depth analysis of the relationship between high-dimensional data. Three dimensionality reduction algorithms are supported:
 
  - PCA : Principle Component Analysis 
  - t-SNE : t-distributed Stochastic Neighbor Embedding