Bachelor's degree thesis in computer engineering - Natural Language Processing for sentiment and topic recognition
-
Updated
Jul 4, 2024 - Python
Bachelor's degree thesis in computer engineering - Natural Language Processing for sentiment and topic recognition
Deepgram Transcription Processor is a Python program designed to process transcription output obtained from Deepgram's transcription service. It extracts key information such as conversation, summary, and paragraphs from the transcription output JSON and writes them to separate text files for further analysis and reference.
Reproducible implementation of the paper "Tired of Topic Models? Clusters of Pretrained Word Embeddings...".
Natural Language Processing (NLP) and analysis on reviews about delivery companies in the UK based on reviews extracted from the Trustpilot website
A python implementation of a fast practical topic search algorithm
Web crawler and topic-extraction
YEDDASeg: Textual Topic Segmentation Annotation tool
Topic extractor with the idea of generating labels using genism.n_similarity
这是本人第一次数据算法比赛实录。主要整理记录2017年CCF大数据与计算智能竞赛使用的模型和实现代码,选择了基于主题的文本情感分析赛题。采用情感词典+自定义规则完成比赛,成绩:136/796。
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
School project 2016, web-page content analysis using ML
Natural Language Processing for Lithuanian language
Restaurant Price Tier ($) Predictor using LDA, Topic modeling and Featuring, classification using Python.
Get posts and comments from fb pages using facebook api
Add a description, image, and links to the topic-extraction topic page so that developers can more easily learn about it.
To associate your repository with the topic-extraction topic, visit your repo's landing page and select "manage topics."