Automated content analysis course (Machine learning) - using Python. Winter school course from Vrije university Amsterdam. Here are scripts which I have worked on

Text mining and sentiment analysis on American President Speeches

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

Word embeddings analysis of discourse about community

Exploratory text analysis of AI discourse

Jupyter notebooks to introduce and test you on computational content analysis concepts - from text scraping to topic modelling to deep neural models!

combining social science theoretical framework (Critical Discourse Analysis) and data science tools(ML/AI) to gain new insights into social media campaigning

Strategic Argumentation for Persuasion

Fourth project for Metis: NLP - Analyze 400+ transcripts to understand the topic, audience, and sentiment of commencement speech in the U.S. (topic modeling, sentiment analysis, network analysis)

If you want to use Python for text analysis, this course is for you!

Project Discourse Quality for political deliberations online.

本软件包括对于百度外卖平台的原始评论采集、评论情感计算并分类展示、以及对于用户打分、服务评分等结构化数据进行可视化三个主要功能模块。本软件的主要技术特征在于改造和使用了网络爬虫，来为本软件提供实时数据采集的能力，并将评论情感极性分析和用户打分相结合，在首先考虑用户打分的情况下，再对用户评论进行情感极性分析，通过两者综合考虑，即可解决由于部分用户打分和具体评论情感不一致的问题，增加了平台对于 …

Python-based analysis of Harvard's commencement speeches from 2000-2020. Includes data visualizations and sentiment analysis.

Chinese text normalization for speech processing

Master thesis project dedicated to the media ideology and discourse analysis

The aim of this study is to point out a customer-oriented behavior by analyzing emails sent by companies to users. An intuitive idea to underline such a behavior. An intuitive idea to underline suc…

A paper list for aspect based sentiment analysis.

Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive Content Detection. Deployed on the Cloud using Streamlit on the Heroku Platform.

Trying to apply methods of automatic discourse analysis to my data

Web scraping for parallel corpus on TedTalk

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…

Mi Zhang and Tieyun Qian,Convolution over Hierarchical Level Sentiment Analysis,EMNLP2020

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

用tensorflow进行中文自然语言处理的情感分析

I used Python to build a model that can accurately detect whether a piece of news is real or fake. It classifies news into “Real” and “Fake” based on its content. I used a dataset of shape 7796×4. …