• Akshaya Shelke
• Megha Peddi
• Mayuri Shinde
• Prof. Shital.B.Jadhav

There are various sources to get technical knowledge. Discussion is the best way for achieving it i.e technology related question and answer are a great source of technical knowledge where users of these websites put on various types of technical question and answer them. The questions raised can cover a wide range of domains like Networks, Machine Learning etc. as well as various technologies. Analyzing the actual textual content of these website can help the software community better understand the needs and learn about the current trends in technology. In this project, We consider the data from famous Question and Answer section website called Stack Overflow and is analyzed using one of the Topic Modeling Algorithm (Latent Dirichlet Allocation).The results show that these techniques help discovers dominant topics in developer discussions. These topics are analyzed to find a number of interesting observations such as popular technology/language, impact of a technology, technology trends over time, a relationship of a technology/language with other technologies and comparison of technologies addressing an area of software engineering.

"Introducing a System that Identifies Trends in Technologies and Programming Languages using Topic Model Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.70-75, May-2019, Available :http://www.jetir.org/papers/JETIR1905310.pdf

"Introducing a System that Identifies Trends in Technologies and Programming Languages using Topic Model Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp70-75, May-2019, Available at : http://www.jetir.org/papers/JETIR1905310.pdf