System was integrated.. Rationale for the solution & System noveltiesAs discussed earlier, the main rationales for this system are as follows 1) Better Information Summarization 2) Better information Retrieval 3) Better Remixing Quality (Especially
Coherence) 4) Limited information Loss 5) User can use keywords to remix poetry instead of a full sentence Apart from the above the work done by my fellow FYP student Sebestian incorporates Machine Learning and improves the system over time. All these are a direct consequence of the technical novelties in the components used for the system which are mentioned as follows. 8.2 Technical Novelties in the components used for the new system1) Highly efficient Word Sense Disambiguation (performs better than several industry standard measures) due to the unified usage of WordNet and dictionary methods 2) Innovative & efficient approach to topic modeling which is quite different from the normal probabilistic models that is prevalent nowadays. Some methods of word sense disambiguation in fact use topic modeling in their process. But a highly efficient word sense disambiguation tool has helped us build a good topic modeling system. 3) Innovative poem line selection algorithms that use recombination programs. 8.3 Sample Preliminary result and comparison to the old systemLet us take an example from the new system. Let us assume the input to be “That perfume smells nice and rare”. This is the eventual output from the new system “Bitter sweet come in one
package Compare this to the original system, you get the output as, “Pink is nice Clearly there seems to be a bit more coherence & meaning in the poem generated by the new poem remixing system. You can clearly see more intra and inter relations. Details on CA 3 and 4 are in separate pages.. |
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