Sentiment Data Annotator and Analyst
I performed sentiment analysis and labeling on investor forum posts using SnowNLP. The process included collecting unstructured text data, applying a weighted sentiment scoring model, and generating analytical reports. My work enabled the quantification of investor sentiment and contributed to producing high-quality labeled training data for NLP tasks. • Built a two-level crawler to collect high-engagement posts for analysis. • Implemented multi-dimensional sentiment scoring to enhance data quality. • Used Python, Requests, BeautifulSoup, and SnowNLP for labeling and processing. • Generated sentiment distribution reports to support investment decisions.