The goal of this project was to create a chatbot capable of debating a user using limited resources including a discussion thread from the online debate forum Kialo. A retrieval based bot was designed and the discussion thread was converted into a database which the bot could interpret and choose an appropriate answer from. Which answer is appropriate is decided by the bot using a few key features in a given input sentence. The main features are word similarity, sentiment distance and BERT-encoding (a model for vector representation of text created by Google). The similarity of these features where then used to score claims from the dataset. Combining and weighting the scores was then used to find the correct response to a given input sentence. The most successful of the features was BERT-encoding. Once the bot had been refined it was brought online and tested using the communication platform Discord.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-446909 |
| Date | January 2021 |
| Creators | Björklin, Hampus, Abrahamsson, Tim, Widenfalk, Oscar |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | MATVET-F |
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