The topic of my graduation project is "Text Analysis Platform -Topic Modeling and Named Entity Recognition". The project is a web page text analysis platform based on natural language analysis. The main functions of this project are topic modeling and named entity recognition. At the same time, this project is dedicated to providing journalists with text analysis and helping them complete topic modeling and named entity recognition of the text that needs to be processed.
Users can browse text training models for text topic analysis and topic classification. Users can also choose to train their own text models to ensure their applicability.
In addition, users can also perform named entity recognition on a single text, for example, extract a series of key text information such as person's name, place name, time, organization, etc. This will effectively help users to better complete text classification and understanding. Users can also understand the dependencies of the text through this platform, which can help non-native speakers to understand and process non-native language texts.
English is one of the most commonly used languages ??in the world. Therefore, English is the first processing language and text language of this project. The project will use text processing and homepage language as the first processing language. And I provide Chinese as additional content to users, and users can choose different processing modes to upload texts in different languages.
Finally, the system provides a user private page to help users save their private information and text information.